<p><em>Robert Half is currently seeking a highly skilled and motivated Data Entry Specialist who is looking to start their career with us! As a Data Entry Specialist, you will play a critical role in maintaining our database by entering new and updated customer and account information.</em></p><p>RESPONSIBILITIES:</p><ul><li>Entering customer and account data from paper and electronic source files into the database.</li><li>Reviewing data to ensure that it is accurate, complete, and that proper procedures were followed.</li><li>Performing regular backups to ensure data preservation.</li><li>Responding promptly to company queries.</li><li>Carrying out administrative tasks, such as document file maintenance.</li><li>Attend and complete training sessions to grow knowledge on job functions.</li></ul><p><br></p>
<p>Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders. </p>
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability.<br><br>Responsibilities:<br>• Design and implement robust data lake and warehouse architectures to support organizational needs.<br>• Develop efficient ETL pipelines to process and integrate data from multiple sources.<br>• Collaborate with analytics teams to create and refine data models for reporting and visualization.<br>• Monitor and maintain data systems to ensure quality, security, and availability.<br>• Troubleshoot data-related issues and perform in-depth analyses to identify solutions.<br>• Define and manage organizational data assets, including SaaS tools and platforms.<br>• Partner with IT and security teams to meet compliance and governance standards.<br>• Document workflows, pipelines, and architecture for knowledge sharing and long-term use.<br>• Translate business requirements into technical solutions that meet reporting and analytics needs.<br>• Provide guidance and mentorship to team members on data usage and best practices.
We are looking for a skilled Data Analyst to join our team in Delray Beach, Florida, on a contract with the potential for long-term employment. In this role, you will bridge the gap between management and technology teams, ensuring data is organized, analyzed, and leveraged effectively to meet business needs. This position offers an opportunity to take ownership of data reporting processes and deliver solutions that drive organizational success.<br><br>Responsibilities:<br>• Retrieve, organize, and analyze data to support strategic business decisions.<br>• Serve as a subject matter expert on organizational data systems and promote their adoption across teams.<br>• Develop and implement data reporting solutions for internal and external stakeholders.<br>• Conduct daily, monthly, and quarterly data uploads and submissions as required.<br>• Maintain the security of organizational data by enforcing appropriate access controls.<br>• Provide assistance and support to end-users on data systems and tools.<br>• Lead onboarding training sessions and ongoing education initiatives related to data systems.<br>• Utilize Microsoft Access and other reporting tools to create insightful reports.<br>• Manage ad hoc reporting requests to address immediate business needs.<br>• Participate in meetings, training sessions, and other tasks as assigned by the supervisor.
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
We are looking for an experienced Senior Data Engineer to join our team in Atlanta, Georgia. This role is ideal for someone with a strong background in data architecture, cloud platforms, and analytics tools. You will play a key role in designing, building, and optimizing data systems to support business operations and decision-making.<br><br>Responsibilities:<br>• Develop and maintain scalable data models and database designs to support business needs.<br>• Implement and manage data integration workflows using ETL processes and tools.<br>• Build and optimize data lakes and LakeHouse architectures on Azure platforms.<br>• Utilize Microsoft Fabric and Azure Databricks to create advanced data solutions.<br>• Design and develop dashboards and reports using Power BI to provide actionable insights.<br>• Ensure data governance by establishing policies, procedures, and standards for data use.<br>• Collaborate with cross-functional teams to align data strategies with organizational goals.<br>• Leverage Python and SQL for data analysis, transformation, and automation.<br>• Work with middleware solutions like MuleSoft for efficient data communication and integration.<br>• Stay updated on emerging technologies to continuously improve data engineering practices.
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
We are looking for a skilled Data Engineer to join our logistics team in Lithonia, Georgia. In this role, you will design, construct, and maintain data pipelines and infrastructure to support analytics and operational systems. You will play a key role in enabling data visualization tools, optimizing data processes, and ensuring the accuracy and availability of critical information.<br><br>Responsibilities:<br>• Design and implement data pipelines to efficiently extract, transform, and load data from multiple sources.<br>• Develop and maintain data models and storage solutions to support analytics and reporting needs.<br>• Collaborate with stakeholders to troubleshoot data inconsistencies and resolve technical issues.<br>• Utilize Tableau or Power BI to create meaningful data visualizations that drive business insights.<br>• Write and optimize database procedures, triggers, and other SQL-based functionalities.<br>• Manage and monitor databases to ensure their performance and reliability.<br>• Provide technical guidance to analysts on best practices in data governance and performance optimization.<br>• Participate in cross-functional projects to enhance data accessibility and quality across departments.<br>• Explore and integrate Python-based solutions to enhance data engineering processes.<br>• Assist in training and development related to data availability and analytics tools.
<p>IMMEDIATE HIRE NEEDED. Interviews to begin the first week of February. </p><p><br></p><p>We are looking for a skilled Snowflake Marketing Data Engineer to join our team in Tampa, Florida in a hybrid in-office work schedule (2 to 3 days remote per week) preferably, remote candidates may be considered depending of the quality in match. </p><p><br></p><p>In this role, you will be responsible for designing, implementing, and maintaining data solutions that support critical business operations. Your expertise will play a key part in driving data-driven decisions and optimizing performance across various platforms.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain ETL processes to efficiently extract, transform, and load data from multiple sources.</p><p>• Analyze marketing data to uncover insights and support strategic decision-making.</p><p>• Create and manage dashboards and reports using Power BI to visualize data effectively.</p><p>• Integrate and leverage tools like Braze and Google Analytics to enhance data tracking and reporting capabilities.</p><p>• Collaborate with cross-functional teams to ensure the accuracy and reliability of data systems.</p><p>• Optimize database performance and troubleshoot any issues related to data pipelines.</p><p>• Document data workflows and provide training to stakeholders on best practices.</p><p>• Work with cloud-based platforms, such as Snowflake, to store and manage large datasets.</p><p>• Ensure data security and compliance with company policies and standards.</p>
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration.<br><br>Responsibilities:<br>• Design, develop, and maintain large-scale data pipelines to support business needs.<br>• Optimize data workflows using tools such as Apache Spark and Python.<br>• Implement and manage ETL processes for seamless data transformation and integration.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure consistent performance and reliability.<br>• Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities.<br>• Ensure compliance with data security and privacy standards.<br>• Analyze and interpret complex datasets to provide actionable insights.<br>• Document processes and solutions to support future scalability and maintenance.
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance.<br><br>Responsibilities:<br>• Develop and maintain efficient data workflows to support marketing dashboards and reporting systems.<br>• Document data sources, definitions, and reporting logic to ensure consistency and governance.<br>• Optimize database queries and backend data processes to enhance scalability and performance.<br>• Conduct quality assurance checks to maintain data integrity and accuracy across reports.<br>• Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition.<br>• Collaborate with engineering and data science teams to streamline data pipelines and improve data quality.<br>• Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators.<br>• Provide ad hoc data analysis and reporting to support marketing campaign decision-making.<br>• Ensure data models and workflows are scalable and align with business needs.
<p>We are looking for an experienced Data Engineer to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. No 3rd parties please.</p><p><br></p><p> Responsibilities:</p><p> </p><p> • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p> • Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p> • Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p> • Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p> • Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p> • Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p><p> </p><p><br></p>
We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment.<br><br>Responsibilities:<br>• Gather, clean, and validate data from various sources to ensure consistency and reliability.<br>• Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail.<br>• Support efforts related to data migration, integration, and quality assurance across systems.<br>• Generate timely and accurate reports in response to internal data requests.<br>• Identify and resolve data discrepancies by collaborating with relevant teams.<br>• Document data processes, workflows, and standards to ensure clarity and consistency.<br>• Partner with leadership to analyze data for insights that drive growth, efficiency, and impact.<br>• Conduct forecasting, trend analysis, and reporting to support decision-making.<br>• Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts.<br>• Present data findings in clear and accessible formats suitable for diverse audiences.
We are seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. <br> Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
We are looking for a skilled Data Architect to join our team in Tallahassee, Florida. This long-term contract position offers an excellent opportunity to contribute to enterprise-wide data solutions while collaborating with departmental leaders and stakeholders. The role focuses on optimizing data architecture to support organizational goals and ensure seamless integration of ERP systems.<br><br>Responsibilities:<br>• Design and implement scalable data architecture solutions to meet organizational needs.<br>• Collaborate with stakeholders to gather requirements and develop data strategies tailored to business objectives.<br>• Ensure compliance with data governance policies and industry standards.<br>• Manage ERP system integration projects, ensuring compatibility and efficiency across platforms.<br>• Develop comprehensive documentation for data processes, system specifications, and workflows.<br>• Oversee budgetary aspects related to data architecture projects, ensuring cost-effectiveness.<br>• Provide technical leadership and guidance to support teams on data-related projects.<br>• Utilize Microsoft Teams and other collaboration tools to facilitate communication and project updates.<br>• Conduct procurement processes for tools and resources required for data management.<br>• Monitor and evaluate the performance of data systems to identify areas for improvement.
We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems.<br><br>Responsibilities:<br>• Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming.<br>• Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations.<br>• Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage.<br>• Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs.<br>• Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments.<br>• Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets.<br>• Support continuous integration and deployment processes for Databricks jobs and system configurations.<br>• Ensure high standards of data quality and security across all engineering tasks.<br>• Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
<p>As a Business Data Analyst or Specialist you will be responsible for managing data retrieval and analysis within SCMHC</p><p>The position includes organizing data points, communicating between upper management and the IT department, and analyzing data to determine business needs</p><p>Become subject matter expert for the organization’s EMR/EHR (Credible Behavioral Health) and champions it’s adoption</p><p>Develops data solutions from multiple data sources / applications</p><p>Develops and manages data reporting for internal and external consumers</p><p>Daily, monthly, & quarterly uploads/ Submits data as required</p><p>Ensure data is secure via proper access controls</p><p>Provides EMR/HER assistance and support to end-users</p><p>Organizes, implements and manages new hire as well as ongoing training for EMR/HER</p>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
<p>We are looking for a dynamic and detail-oriented Data Governance Lead to join our team. In this role, you will play a pivotal part in ensuring the effective management, security, and organization of our data assets. You will work closely with cross-functional teams to develop and implement data governance standards, policies, and best practices, driving value and compliance across the organization. This is an exciting opportunity to contribute to a progressive healthcare environment while leveraging cutting-edge technologies.</p><p><br></p><p>Responsibilities:</p><p>• Define and maintain data governance policies and standards to support multiple data domains across the organization.</p><p>• Lead collaboration efforts with data stewards, data owners, and other stakeholders to ensure data quality, security, and compliance.</p><p>• Oversee the implementation and execution of data governance tools, such as Profisee, Azure Databricks Unity Catalog, and Microsoft Purview.</p><p>• Develop and deliver training materials and guidance in partnership with the Learning and Development team to improve data governance understanding.</p><p>• Monitor and measure the effectiveness of the data governance program, reporting on key metrics and program maturity.</p><p>• Collaborate with data engineering and analytics teams to ensure data consistency and support analytical needs.</p><p>• Provide oversight for asset management initiatives, ensuring adherence to data standards and policies.</p><p>• Drive the adoption of data governance best practices and promote awareness of its importance throughout the organization.</p><p>• Manage vendor relationships to ensure the successful execution of data governance-related tooling development.</p><p>• Evaluate and enforce compliance with internal and external data regulations and requirements.</p>
We are looking for a Lead Data Steward to oversee and mentor data stewardship activities across the organization, ensuring compliance with data governance policies and promoting a data-driven culture. This role involves coordinating efforts between business units, data stewards, and the Data Governance Council to enhance data accuracy, timeliness, and security. As a key player in the data and analytics governance program, the Lead Data Steward will lead initiatives that improve data quality and foster collaboration.<br><br>Responsibilities:<br>• Provide leadership and guidance to data stewards across the enterprise, ensuring alignment with governance policies.<br>• Develop and implement strategies to improve data accuracy, security, and timeliness.<br>• Collaborate with teams such as Decision Science, IT, and Financial Analysts to resolve data consistency and quality issues.<br>• Oversee compliance with data governance policies, including the management of sensitive and confidential data.<br>• Monitor and report on data reliability metrics and adherence to governance standards.<br>• Facilitate regular meetings with the Data Governance Council to drive improvements in stewardship practices.<br>• Actively address data quality issues, utilizing both automated solutions and manual interventions.<br>• Research and recommend tools, methodologies, and industry trends to enhance governance efforts.<br>• Promote organization-wide adoption of data governance policies through educational initiatives and collaboration.<br>• Consolidate metrics and deliver reports to leadership on the effectiveness of data governance programs.
<p> Develop data models, database schemas, and integration patterns that support digital credentials,</p><p>transcripts, apostilles, and vital records.</p><p>• Create and enforce data governance policies ensuring compliance with FERPA, state regulations, and</p><p>government data security standards.</p><p>• Define data standards and metadata management strategies across both platforms.</p><p>• Lead the technical strategy for data integration between legacy systems and modern cloud-based</p><p>solutions.</p><p>Security & Compliance</p><p>• Ensure data architecture meets SOC2 Type II requirements and government security standards.</p><p>• Design and implement data encryption, access controls, and audit mechanisms for sensitive credential</p><p>and vital record data.</p><p>• Collaborate with security teams to conduct threat modeling and implement data protection measures.</p><p>• Maintain compliance with privacy regulations, including FERPA, state data protection laws, and records</p><p>retention requirements.</p><p>Platform Integration & Development</p><p>• Architect data pipelines and ETL processes for credential issuance, verification, and digital record</p><p>management</p><p>• Design APIs and integration layers that enable secure data exchange with educational institutions and</p><p>government agencies.</p><p>• Work with development teams to implement data solutions in cloud environments (AWS, Azure, or</p><p>similar)</p><p>• Optimize database performance and scalability to handle high-volume credential processing and</p><p>verification requests.</p><p> </p><p>Analytics & Reporting</p><p>• Design data warehousing and business intelligence solutions supporting operational and strategic</p><p>decision-making.</p><p>• Create data models that enable reporting on credential issuance, verification trends, and system usage</p><p>across both platforms.</p><p>• Develop KPIs and metrics frameworks to measure platform performance and customer satisfaction.</p><p>Collaboration & Leadership</p><p>• Mentor development teams on data best practices, modeling techniques, and architectural patterns</p><p>• Document data architecture, create technical specifications, and maintain architecture decision records.</p><p>• Participate in vendor evaluations and technology selection for data-related tools and platforms.</p><p>Qualifications</p><p><br></p>
We are looking for a dedicated Data Entry Clerk to support our operations in Tucson, Arizona. This is a long-term contract position where you will play a vital role in accurately managing and processing donor-related data. If you are detail-oriented and skilled in data entry, we encourage you to apply.<br><br>Responsibilities:<br>• Input and update donor information and payment details into the database with precision.<br>• Manage data using Raiser’s Edge and Microsoft Excel to ensure accuracy and consistency.<br>• Process contributions, credit card transactions, and other payment types efficiently.<br>• Maintain organized records and files for easy access and reporting.<br>• Learn and apply data entry procedures through provided training.<br>• Ensure compliance with data security and confidentiality standards.<br>• Collaborate with team members to address data discrepancies and resolve issues.<br>• Perform quality checks to identify and correct errors in the data.<br>• Prepare periodic reports based on processed information.<br>• Adapt to evolving workflow requirements to support seasonal office needs.
<p>The Data Architect is responsible for defining, governing, and evolving the organization's enterprise data architecture across ERP, operational systems, and analytics platforms. This role ensures data consistency, scalability, and integrity as the organization executes ERP implementations and OpCo rollouts.</p><p>This role <strong>does not</strong> perform day-to-day reporting or operational data fixes. It defines the structure, standards, and guardrails that others operate within.</p><p><strong>Key responsibilities</strong></p><p><strong>Data architecture and design</strong></p><ul><li>Define and maintain enterprise data models across ERP, operational, and analytics platforms.</li><li>Design canonical data models for core domains such as customers, vendors, jobs, projects, financials, and assets.</li><li>Define data relationships and ownership across BuildOps, Procore, ERP finance, and downstream analytics systems.</li><li>Establish standards for master data, reference data, and transactional data.</li></ul><p><strong>Data governance and quality</strong></p><ul><li>Define data ownership, stewardship, and accountability by domain.</li><li>Establish data quality rules, validation standards, and reconciliation frameworks.</li><li>Partner with Applications Management and Operations Success Managers to align system configuration with data standards.</li><li>Define auditability and traceability standards for financial and operational data.</li></ul><p><strong>Integration and analytics enablement</strong></p><ul><li>Partner with integration engineers to define data contracts, schemas, and transformation rules.</li><li>Ensure data models support reporting, BI, and downstream analytics use cases.</li><li>Review and approve data design decisions for new integrations and ERP modules.</li></ul><p><strong>ERP and implementation support</strong></p><ul><li>Support ERP implementations by validating data design, mappings, and cutover readiness.</li><li>Review data migration strategies to ensure alignment with target-state architecture.</li><li>Provide architectural guidance during fit-gap, design, and testing phases.</li></ul><p><br></p>
<p>Position Overview</p><p>We are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.</p><p>The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.</p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul><p>e2. Integration & Automation</p><ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul><p> 3. Performance, Reliability & Monitoring</p><ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul><p>a4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul><p>r5. Security, Compliance & Risk Management</p><ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
