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6 results for Data Architect in Danbury, CT

Data Engineer

Montvale, NJ
onsite
Permanent / Full Time
125000 - 150000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-04-28T00:00:00Z

Data Engineer

Poughkeepsie, NY
remote
Temporary / Contract
58 - 77 USD / Hourly
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment. Responsibilities: • Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data. • Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management. • Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities. • Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance. • Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets. • Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate. • Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support. • Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures. • Protect data assets by applying security controls and compliance standards across the Databricks environment. • Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
2026-05-27T00:00:00Z

Senior Data Engineer

Greenwich, CT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges. Responsibilities: • Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery. • Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives. • Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions. • Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed. • Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing. • Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security. • Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability. • Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms. • Support application and data connectivity by implementing and maintaining API-based integrations where required.
2026-05-27T00:00:00Z

Cloud Engineer

Madison, CT
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Cloud Engineer to support and strengthen a secure, resilient, and scalable cloud environment in Madison, Connecticut. This position focuses on building and maintaining infrastructure that supports operational reliability, strong performance, and regulatory alignment. The ideal candidate brings hands-on cloud engineering experience, a proactive approach to automation, and the ability to work effectively with technical teams across the organization. Responsibilities: • Architect, deploy, and support cloud infrastructure solutions that emphasize security, availability, and long-term scalability. • Administer core shared platform services and ensure stable day-to-day operation of cloud-based systems and resources. • Configure and manage cloud components across compute, storage, and network layers to meet business and technical requirements. • Develop and enhance automation for infrastructure provisioning and configuration management using tools such as Python, Terraform, Ansible, and cloud-native services. • Create and maintain standardized machine images by using image-building tools and configuration frameworks to improve consistency and governance. • Track infrastructure health and performance, investigate service disruptions, and resolve issues through effective troubleshooting and root cause analysis. • Evaluate emerging cloud capabilities and provide technical recommendations on services that could improve performance, security, or efficiency. • Maintain patching practices for both Linux and Windows environments to help protect systems and preserve operational stability. • Partner with infrastructure and application teams to integrate cloud platforms with existing systems and support automated deployment pipelines.
2026-05-05T00:00:00Z

Cloud Engineer

Stamford, CT
onsite
Temporary / Contract
67 - 76 USD / Hourly
We are looking for a Cloud Engineer to support and enhance enterprise cloud operations in Stamford, Connecticut. This Long-term Contract position is ideal for someone who can build reliable Azure environments, improve infrastructure automation, and help maintain secure, highly available platforms. The role will work closely with engineering and security partners to deliver scalable cloud solutions and strengthen operational performance. Responsibilities: • Build, configure, and sustain Azure infrastructure through Infrastructure as Code practices using Terraform. • Manage the full lifecycle of Azure resources, including subscriptions, networking, storage, compute, and core platform services. • Develop and support cloud network architecture across virtual networks, security groups, firewalls, load balancing, and hybrid connectivity components. • Provision and administer Azure compute services such as virtual machines, scale sets, and managed platform offerings. • Connect infrastructure deployments with CI/CD workflows to enable consistent automation for releases and environment updates. • Administer identity and access controls with Microsoft Entra ID, managed identities, and conditional access policies. • Monitor platform health, respond to alerts, and drive preventive actions to improve resilience and service uptime. • Implement recovery strategies by supporting backup, disaster recovery, and business continuity capabilities within Azure. • Collaborate with security stakeholders to apply cloud governance standards, risk controls, and compliance-focused configurations. • Investigate complex cloud issues, document findings, maintain operational runbooks, and contribute to cost and capacity optimization efforts.
2026-05-19T00:00:00Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals. Primary Responsibilities:<ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul>
2026-05-22T00:00:00Z