Engineering Manager- Data

Overview

Engineering Manager for Data to lead a Data Engineering team responsible for ingestion, lakehouse layers, orchestration, quality/governance, and platform cost.

What you'll do

• Lead and support the Data Engineering pod, owning the roadmap, engineering standards, and data platform execution.
• Own ingestion into the lakehouse via batch, streaming, or change data capture from internal and partner sources.
• Own lakehouse layers (bronze/raw, silver/conformed, gold/modelled) and set ownership/movement standards between layers.
• Own orchestration and delivery for scheduled/event-driven pipelines, including CI/CD, testing, backfills, and schema changes.
• Define and monitor data freshness, completeness, and accuracy; support incident response for broken data.
• Own data governance including PII tagging/masking, access control, catalog/lineage, retention, and data residency controls.
• Own platform cost by attributing storage/compute spend to consumers and keeping spend aligned with value.

What you'll need

• 8+ years in data engineering.
• 4+ years managing a data engineering team with senior engineers reporting in.
• Experience operating in regulated or audited environments.
• Experience running production pipelines and a lakehouse/warehouse serving many teams.
• Depth in batch/streaming ingestion, change data capture, layered modelling, orchestration, and data quality testing/observability.
• Ability to lead major platform decisions from evaluation through production.
• Can write SQL and Python and debug failing jobs; also demonstrates hiring and performance management.

Details

• Location: Bengaluru.