Big Data Engineering Lead

Responsibilities

• Lead the technical leadership, engineering delivery, and quality of the Data Foundation platform
• Build and maintain enterprise data pipelines, data products, canonical data models, and data services
• Partner with Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions
• Accountable for engineering execution, solution quality, and operational reliability
• Develop a high-performing data engineering team

Requirements

• 8+ years of experience in data engineering, software engineering, or enterprise data platform development
• 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives
• Advanced SQL and data modeling expertise
• Strong Python and PySpark development experience
• Deep understanding of ETL and ELT architecture patterns
• Experience implementing Master Data Management solutions
• Experience building RESTful APIs and data services
• Familiarity with GraphQL and modern integration approaches
• Understanding of microservices-based architectures
• Experience implementing event-driven and real-time data processing solutions
• Strong understanding of data quality frameworks, metadata management, and data lineage concepts