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5 results for Data Architect in Houston, TX

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
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. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-07-14T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
We are seeking an experienced Python Data Engineer to join our growing data team. This role will focus on building and supporting scalable data solutions that ingest, process, and deliver real-time and near real-time data across the organization. The ideal candidate will have experience working in financial services, energy, or oil & gas environments, where timely, accurate data is critical to business operations and decision-making.You will partner closely with business leaders, analysts, data scientists, and application teams to develop robust data pipelines, integrate external and internal data sources, and enhance enterprise data capabilities.Responsibilities<ul><li>Design, develop, and maintain scalable Python-based ETL and data integration solutions.</li><li>Build reusable data acquisition components to consume APIs, market feeds, operational systems, IoT devices, and third-party data sources.</li><li>Develop and support real-time and near real-time data pipelines for business-critical reporting and analytics.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Enhance and maintain enterprise data engineering frameworks and standards.</li><li>Ensure data quality, reliability, performance, and governance across the data ecosystem.</li><li>Support Oracle databases, PL/SQL development, and data warehouse integrations.</li><li>Partner with global teams to deliver high-quality data solutions and support ongoing business initiatives.</li><li>Participate in architecture discussions and contribute to best practices around data engineering and software development.</li></ul> Preferred Qualifications<ul><li>Experience in financial services, banking, asset management, energy, commodities, or oil & gas industries.</li><li>Experience supporting operational, market, production, pricing, risk, or financial data platforms.</li><li>Knowledge of cloud-based data platforms and modern data architecture.</li><li>Experience with data warehousing, data lakes, and enterprise reporting solutions.</li></ul>Technical EnvironmentPython, Oracle, PL/SQL, Pandas, NumPy, Selenium, BeautifulSoup, REST APIs, ETL, Data Pipelines, Real-Time Data Processing, Data Warehousing, Git, Agile, Cloud TechnologiesIdeal Candidate: A hands-on Data Engineer with strong Python development skills, experience working with real-time business data, and a background supporting data platforms in financial services, energy, or oil & gas organizations.
2026-07-14T00:00:00Z

Senior Manager IT Architecture

Houston, TX
onsite
Permanent / Full Time
225000 - 245000 USD / Yearly
We are looking for an experienced technology leader to shape enterprise architecture strategy and guide long-term technology direction for a growing organization. This role will connect business priorities with scalable, secure, and cost-conscious solutions across applications, platforms, infrastructure, and data-related capabilities. The ideal candidate will influence executive decision-making, establish effective governance, and strengthen architectural consistency across the enterprise while developing a strong team of architects and application specialists. Responsibilities: • Create and maintain the enterprise architecture vision, guiding principles, governance practices, and multi-year roadmaps that support business objectives. • Direct architectural decision-making across major technology domains, including cloud platforms, infrastructure, identity and access management, collaboration tools, and enterprise integration. • Evaluate the technology portfolio to identify modernization opportunities, reduce unnecessary complexity, and support investment choices based on business value and risk. • Partner with business and IT leaders to convert strategic goals into practical technology capabilities, prioritized initiatives, and measurable outcomes. • Advise executives on architecture-related trade-offs, potential risks, and expected returns to support informed planning and funding decisions. • Lead and develop a high-performing team of architects and application specialists, encouraging accountability, innovation, and ongoing growth. • Promote enterprise-wide standards by collaborating with leaders across cybersecurity, data, analytics, governance, and end-user services to ensure aligned and integrated solutions. • Establish architectural practices that emphasize resiliency, scalability, security, supportability, and cost efficiency across platforms and applications. • Support modernization efforts involving business applications and platforms, including environments related to SAP S/4HANA and Azure-based solutions, where appropriate.
2026-07-15T00:00:00Z

Business Intelligence (BI) Engineer

Spring, TX
onsite
Permanent / Full Time
110000 - 135000 USD / Yearly
We are looking for a Business Intelligence (BI) Engineer to design and enhance reporting solutions that turn complex operational and commercial data into clear business insights. Based in The Woodlands, Texas, this role supports decision-making across the organization by building scalable dashboards, improving data visibility, and translating stakeholder needs into effective analytics products. The ideal candidate combines strong Power BI expertise with a practical understanding of business intelligence architecture, data modeling, and performance optimization. Responsibilities: • Build and maintain interactive Power BI dashboards and reports that provide timely, meaningful visibility into key business metrics. • Partner with business teams to gather reporting needs, define success measures, and convert requirements into well-structured analytics solutions. • Develop robust data models and DAX calculations that improve reporting accuracy, usability, and analytical depth. • Optimize BI assets for performance, reliability, and ease of use across a range of audiences and business functions. • Work with data from multiple systems to create consistent, trusted datasets that support enterprise reporting. • Troubleshoot reporting issues, validate data outputs, and resolve discrepancies to maintain confidence in delivered insights. • Document report logic, data definitions, and development standards to support long-term scalability and knowledge sharing. • Contribute to enhancements involving business intelligence platforms or reporting processes when operational changes require updated analytics support.
2026-06-24T00:00:00Z

Business Analyst

Spring, TX
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Financial AnalystThe Woodlands, TX (Fully In-Office)Our client, a growing regional organization with operations across multiple states, is seeking a Financial Analyst for an immediate opportunity. This is a newly created position driven by company growth and offers significant visibility throughout the organization.The Financial Analyst will partner closely with Accounting, Finance, Operational, Supply Chain, and Logistics leadership to analyze business performance, develop meaningful reporting, and identify opportunities for operational improvement. This role is ideal for a data-driven professional who enjoys working with large datasets, building impactful dashboards, and supporting strategic decision-making.Key Responsibilities<ul><li>Analyze operational and financial data to identify trends, opportunities, and key performance indicators (KPIs).</li><li>Develop, maintain, and enhance complex reporting and dashboards utilizing Power BI.</li><li>Partner with Accounting, Finance, Operations, Supply Chain, and Logistics teams to provide actionable insights that drive business performance.</li><li>Monitor and analyze capital expenditures (CapEx) and operational expenditures (OpEx).</li><li>Support the purchase, movement, tracking, and analysis of physical goods across multiple locations.</li><li>Perform supply chain and logistics analysis to identify inefficiencies, optimize processes, and improve operational performance.</li><li>Analyze inventory movement, utilization trends, transportation metrics, and distribution-related data to support business objectives.</li><li>Assist leadership with forecasting, budgeting, performance analysis, and operational reporting.</li><li>Create and automate reporting processes to improve efficiency and decision-making.</li><li>Present findings and recommendations to various levels of management.</li></ul>
2026-07-10T00:00:00Z