> Markdown version of [/jobs/ext/2988832-aws-data-architect](https://www.wearedevelopers.com/jobs/ext/2988832-aws-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Architect - **Company:** Turing IT Labs - **Location:** Clinton, NC, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Amazon DynamoDB, Apache Hadoop, Identity and Access Management, Python (Programming Language), Metadata, Power BI, Data Streaming, Tableau (Software), Sql Optimization, Snowflake, Apache Spark, Data Lakes, Pyspark, AWS Data Analytics, Apache Kafka, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/3251955e-ed49-4cd6-bd5a-d468d0f54c1c ## About the Role * AWS Data Architecture: S3, Glue, Redshift, RDS, DynamoDB * Data Engineering: PySpark/Spark, Python, Advanced SQL * AWS Processing: EMR, Lambda, Step Functions * Data Governance & Security: Lake Formation, Glue Data Catalog, IAM, RLS * Data Architecture: Data Lake/Lakehouse, Data Modeling, Metadata, Lineage * ETL/ELT: Batch & real-time data pipelines * Migration & Modernization: Hadoop/on-prem/legacy data platform * AWS * BI & Reporting: Amazon QuickSight, Tableau, Power BI * AI/Automation: AI Agents, Quick Chat, Quick Spaces, workflow automation * Streaming: Kinesis/Kafka - Plus * Modern Data Stack: dbt, Airflow, Snowflake - Plus ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## 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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)