Senior Data Architect - Enterprise Data & Platform Innovation

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

Job summary

The Federal Reserve Board is seeking a hands-on Data Architect to lead data modeling, governance, and architecture across the division. You will design scalable data pipelines, oversee ETL/ELT processes, and guide the modernization of data platforms for policy research.

Ideal candidates have 8+ years in data engineering/architecture, strong SQL and Python/R skills, and experience with cloud-based data solutions. This role requires collaboration with cross-functional teams and a service mindset.

Qualifications

• Bachelor's degree or equivalent experience as a minimum.
• 8+ years of related experience in data engineering/architecture.
• Proficiency with SQL and relational databases (PostgreSQL, MS SQL, MySQL).
• Hands-on experience building enterprise data architectures and governance.

Responsibilities

• Document current data architecture and maintain data ecosystem view.
• Develop future-state standards, guidelines, and principles.
• Design data solutions for economic policy and research projects.
• Build and optimize ETL/ELT workflows and data integration pipelines.
• Migrate data pipelines between on-premises and cloud environments.
• Provide technical leadership on database design and data platform solutions.

Skills

Data architecture

Data governance

SQL proficiency

Python/R scripting

Cloud & DevOps

ETL/ELT design

Data modeling

Analytical thinking

Communication

Independent work

Education

Bachelor's degree in Computer Science/IT/Engineering

8+ years data engineering/architecture experience

Advanced degree (preferred)

Tools

SQL (PostgreSQL/MySQL/MS SQL)

Python/R

Git/CI-CD

Airflow/Prefect/Dagster

AWS cloud

Job description

The Federal Reserve Board is seeking a hands-on Data Architect to lead data modeling, governance, and architecture across the division. You will design scalable data pipelines, oversee ETL/ELT processes, and guide the modernization of data platforms for policy research.

Ideal candidates have 8+ years in data engineering/architecture, strong SQL and Python/R skills, and experience with cloud-based data solutions. This role requires collaboration with cross-functional teams and a service mindset.