Job Description

Role: Data architect - Databricks / Lakehouse

Location: Delhi NCR

Experience: 11+ Years

Immediate Joiners Only

Lead Data Engineer — HIP Integration

A senior, hands-on data engineer who can own the end-to-end onboarding of CMS/AS into the Heathrow Insights Platform — choosing the right ingestion pattern, landing data through Bronze into the shared Silver unifying source, and making it consumable in Gold and setting up PowerBI reports.

Core technical profile

Lakehouse engineering on Databricks/Unity Catalog — Delta tables, Lakeflow Jobs, notebook-based orchestration, medallion (Bronze/Silver/Gold) modelling.
Breadth across the four supported integration patterns: direct/streaming (Event Hubs Kafka endpoint, Kafka, Zerobus push), Lakeflow Connect managed connectors (Salesforce, SQL Server, Azure SQL, SFTP, Snowflake federation), Open Sharing for cross-platform access, and custom orchestrated REST/GraphQL ingestion. Must be able to choose the pattern, not just implement one.
Batch, micro-batch and near-real-time pipeline design, with the roadmap moving toward near-real-time lakehouse and data APIs.

Leadership and ways of working

Lead a team of 2 data engineers working on CMS and AS
Sets and enforces engineering standards: reuse, discoverability, observability, documentation, and paying down technical debt rather than creating it.
Confident stakeholder engagement with data product owners across a broad initiative portfolio (baggage, airside ops, carbon, forecasting, commercial finance).