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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - III - **Company:** SGA Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Database, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Dataspaces, Data Warehousing, Database Design, Software Design Patterns, Disaster Recovery, Identity and Access Management, Information Lifecycle Management, Python (Programming Language), Software Architecture, Cloud Services, DataOps, SQL Databases, Data Streaming, Tableau (Software), Technical Data Management Systems, Data Processing, Freeform SQL, Enterprise Software Applications, Data Storage Technologies, Data Classification, Apache Spark, Caching, Change Data Capture, Gitlab, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Integration Frameworks, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Database Tools and Utilities, Databricks - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/146dc09b-9e82-40ff-8448-80c8ae2c62db ## About the Role * Bachelor's degree in computer science or similar field with 8+ years of related work experience. * 8+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments with Databricks platform. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions. * 5+ years of experience in Tableau visualization preferred. * Demonstrated experience designing, architecting and supporting applications with a strong emphasis on scalability, security, availability and performance. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools. * Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data lake houses, data warehousing concepts and data governance. * Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership. * Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required. ## Description Software Guidance & Assistance, Inc., (SGA), is searching for a Data Architect - III for a C ontract assignment with one of our premier Financial Services clients in New York, NY ., * Architect scalable data processing frameworks leveraging Databricks platform for analytical workloads * Implement cost-optimization strategies balancing compute resources, storage tiering, and cluster configurations * Develop and maintain coding standards for PySpark/Python within Databricks notebooks ensuring maintainability and performance * Design and architect ETL/ELT pipelines supporting ingestion, transformation, and distribution of analytic datasets. * Design Databricks workspace architectures integrating Unity Catalog for centralized governance, AWS IAM for authentication, and cross-account data access patterns. * Design data quality frameworks and validation logic within processing workflows * Understanding of complex SQL queries and Spark transformations for data manipulation, aggregation, and analytical computations * Establish patterns for incremental processing, change data capture, and historical data management * Architect MLOps pipelines for model deployment and monitoring using AWS services, Domino Data Lab, and related platforms * Implement CI/CD workflows using GitLab for data pipeline deployment and version control * Establish infrastructure-as-code practices for environment consistency and disaster recovery * Establish data governance frameworks within centralized data lake environment * Design dimensional data models and semantic layers optimized for Tableau and BI consumption * Explore and implement generative AI capabilities * Partner with product owners, architects, data engineers, analysts, and application teams to translate requirements into technical architectures * Mentor team members on best practices for Spark optimization, data modeling, and cloud-native design patterns * Evaluate emerging technologies and platforms for potential adoption into the data ecosystem * Document architectural decisions, design patterns, and technical standards ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)