Senior Data Architect: Cloud Data Strategy & Pipelines

Federal Reserve System; Washington (District of Columbia); On-site; USD 145,000 - 211,000; Full time

Job summary

The Federal Reserve System seeks a Principal Data Architect/Engineer to lead enterprise data architecture for policy research. You will define data models, metadata, governance, and collaborate with delivery teams on data extraction, loading, and processing solutions.

Ideal candidates have 8+ years in data engineering/architecture, strong SQL and Python skills, cloud experience, and a Bachelor's degree or equivalent. Competitive federal salary in the DC area.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
• Minimum of 8+ years of related experience in data engineering and architecture.
• Advanced knowledge of SQL and relational databases; experience with data models and governance.
• Hands-on experience designing end-to-end data architectures and data platforms.
• Experience with CI/CD, cloud platforms, and data security practices.

Responsibilities

• Document current data architecture and maintain an accurate data ecosystem view.
• Develop future state data architecture standards, guidelines, and principles.
• Design data pipelines and ETL/ELT workflows for analytics and policy research.
• Lead data governance initiatives, metadata management, and data quality efforts.
• Collaborate with research and business teams to improve data models for analytics and visualization.

Skills

Data architecture

ETL/ELT workflows

SQL expertise

Python

Data governance

Cloud computing

Data modeling

Education

Bachelor's degree or equivalent experience

Tools

Apache Airflow

Git/GitHub

CI/CD

AWS

Linux

Job description

The Federal Reserve System seeks a Principal Data Architect/Engineer to lead enterprise data architecture for policy research. You will define data models, metadata, governance, and collaborate with delivery teams on data extraction, loading, and processing solutions.

Ideal candidates have 8+ years in data engineering/architecture, strong SQL and Python skills, cloud experience, and a Bachelor's degree or equivalent. Competitive federal salary in the DC area.