Lead and manage a team of data engineers and data QA engineers, fostering a collaborative and high-performance culture
Design and develop robust data ingestion, ETL processes, and ensure data integrity and high availability
Document and manage data models, schema designs, and ER diagrams, ensuring a well-architected and scalable data structure
Oversee the development and maintenance of data architecture, optimizing for performance and reliability
Collaborate with research and product teams to enhance our analytical capabilities and streamline workflows
Conduct analysis on large, aggregated datasets (e.g., demographic, geographic, GIS/spatial)
Coordinate effectively with both onshore and offshore development teams, ensuring alignment and meeting project objectives

10+ years of experience in data engineering, with at least 3 years in a leadership role managing engineering teams
Advanced proficiency in Python (8+ years) and experience with relational databases (MySQL, PostgreSQL, etc.)
Prior experience with Git and Agile methodologies
Strong expertise in data architecture, ETL processes, and data pipeline management
Proven ability to design and optimize database schemas for complex data domains
Experience with cloud platforms, particularly AWS (Amazon RDS, Containers)
Willingness and desire to keep up with new cloud technologies, languages, standards, and practices
Strong problem-solving skills, excellent communication abilities, attention to detail, and a commitment to continuous learning and improvement
Ability to work independently in a fast-paced, agile environment
Ability to collaborate effectively with a remote team
Ability to overlap 3-4 hours with the U.S. West Coast to participate in team discussions and lead cross-time-zone collaboration

Lead Data Engineer

Key skills