Senior IT Big Data Developer Data Architect-Engineer

Senior IT Big Data Developer / Data Architect-Engineer

Position Overview

The Federal Reserve Boards Data Architecture Technology and Analytics (DATA) team is seeking a Senior Data Architect/Engineer to support the Division of Research & Statistics.

This role focuses on modernizing and optimizing data architecture enabling efficient ingestion storage and analytics for economic policy and research data. The ideal candidate is a hands-on data engineer and architect with strong expertise in data modeling pipeline development and large-scale systems.

Key Responsibilities

Design build and optimize data pipelines and data architecture

Develop scalable solutions for data ingestion processing and analytics

Collaborate with economists and research teams to deliver data solutions

Improve and redesign existing data systems and workflows

Ensure efficient data delivery and accessibility across teams

Perform root cause analysis and optimize data processes

Support enterprise-level data architecture design (conceptual logical physical)

Required Qualifications

Bachelors degree in Computer Science IT Engineering or related field

7 years of relevant experience (Advanced degree preferred)

Technical Skills (Must-Have)

Strong expertise in SQL with RDBMS (PostgreSQL SQL Server MySQL)

Advanced programming in Python and/or R

Experience with large-scale distributed data systems

Hands-on experience with ETL/ELT pipeline development

Strong experience building scalable data platforms and processing frameworks

Experience with workflow orchestration tools (Airflow Prefect Dagster AWS Step Functions)

Experience with data migration (on-prem to cloud)

Strong knowledge of structured & unstructured data processing

Proficiency in Linux environments and Git (GitHub/GitLab)

Advanced / Desired Skills

Experience with cloud platforms (AWS Azure Snowflake)

Data warehouse design with CDC (Change Data Capture)

Experience with DataOps CI/CD pipelines

Knowledge of NoSQL and graph databases

Programming experience in Java Scala JavaScript or Perl

Experience with machine learning model development & deployment

Understanding of time series data & forecasting techniques

Experience with economic or financial data (preferred)

Soft Skills

Strong analytical and problem-solving skills

Excellent communication and stakeholder management

Customer-focused with self-driven mindset

Ability to work across multiple teams and priorities

Ideal Candidate Profile

Strong data engineering architecture background

Experience working in research or analytics-driven environments

Passion for building next-gen data platforms

Comfortable working in complex high-impact environments