Enterprise Data Architecture Lead

Federal Reserve Board of Governors

Washington

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

The Federal Reserve Board of Governors is seeking a hands-on Data Architect to lead the division's data architecture modernization. You will collaborate with data engineers and researchers to build scalable data pipelines, models, and governance practices that support economic policy and analysis.

Responsibilities include documenting current architectures, developing future standards, migrating workflows to cloud, and guiding data quality and security across the enterprise.

Qualifications

  • Bachelor's degree or equivalent experience in a technical field.
  • Minimum 8 years of related data engineering and architecture experience.
  • Expert in data modeling, data governance, and large-scale data systems.
  • Strong SQL proficiency and ETL/ELT workflow design.

Responsibilities

  • Document current data architecture and maintain data ecosystem.
  • Develop future state architecture standards and principles.
  • Migrate workflows between on-premises and cloud environments.
  • Lead data solution design aligned with policy and research needs.
  • Implement CI/CD pipelines and DataOps practices.
  • Provide technical leadership on database design and warehousing.

Skills

Data governance
Strategic thinking
Stakeholder communication
Problem solving

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field

Tools

SQL
Python
Airflow
CI/CD
GitHub
GitLab
Linux
Data modeling
ETL/ELT

Job description

The Federal Reserve Board of Governors is seeking a hands-on Data Architect to lead the division's data architecture modernization. You will collaborate with data engineers and researchers to build scalable data pipelines, models, and governance practices that support economic policy and analysis.

Responsibilities include documenting current architectures, developing future standards, migrating workflows to cloud, and guiding data quality and security across the enterprise.

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