Engineering Manager Data

You will lead the Data Engineering pod and own ingestion, lakehouse architecture, orchestration, data quality, governance, cost controls, and self-service datasets. You will support production operations, review data models and pipelines, write code when needed, and grow the engineering team.

Responsibilities

• Lead the Data Engineering pod
• Own data engineering roadmap, standards, and platform
• Own batch, streaming, and change-data-capture ingestion
• Own lakehouse bronze, silver, and gold layers
• Own pipeline orchestration, CI/CD, testing, backfills, and schema changes
• Define and monitor data quality and reliability standards
• Own data governance, access control, lineage, retention, and residency
• Manage platform storage and compute costs
• Build self-service data capabilities
• Build data foundations for machine learning and AI
• Review data models and debug pipelines
• Hire and develop data engineers

Requirements

• 8+ years in data engineering
• 4+ years managing a data engineering team
• Regulated or audited environment experience
• Production pipeline and lakehouse or warehouse experience
• Batch ingestion
• Streaming ingestion
• Change data capture
• Open table formats
• Layered data modelling
• Orchestration
• Data quality testing
• Data observability
• Warehouse or lakehouse migration
• SQL
• Python
• Hiring
• Performance management
• AI agents and assistants
• Written communication

Benefits

• Equity