Chief Data Engineer

📋 Description

• Lead the design, development, testing, and implementation of enterprise data ingestion and
• Oversee migration from legacy Informatica PowerCenter, Informatica Data Quality, and on-premises
• Architect scalable data integration patterns supporting batch processing, incremental updates
• Lead production operations, automation, monitoring, reporting, performance optimization, failure
• Design integrations with data fabrics, Delta Sharing, APIs, secure file transfer mechanisms, and
• Coordinate phased data onboarding, including technical discovery, source-system analysis, data

🎯 Requirements

• Bachelor’s degree with 15+ years of experience in data engineering, data architecture, software
• Proven leadership experience architecting and delivering enterprise-scale data integration and
• Deep expertise in cloud data engineering using Azure services such as Azure Data Factory, Azure
• Strong hands-on experience developing data pipelines with Python, SQL, PySpark, and modern data
• Strong understanding of lakehouse architectures and Delta Lake.
• Extensive experience with data architecture, data modeling, data quality, performance optimization

🎁 Benefits

• Proposed salary range of $114,600–$252,100, with final compensation influenced by geographic
• Full-time, regular employment.
• Hybrid work opportunity in Washington, DC, with remote work available from any U.S. state according
• Comprehensive healthcare benefits.
• Wellness programs and support.
• Financial and retirement benefits.