Senior Data Engineer

About the role

We are seeking a Principal Data Engineer to serve as the most senior technical authority in our data and analytics practice. This is a hands-on leadership role: you will own the architecture and engineering standards for AWS-native data platforms, lead and mentor multi-pod engineering teams, and act as the trusted technical counterpart to customer stakeholders.

What you'll do

• ARCHITECTURE & TECHNICAL DESIGN
• Own end-to-end architecture for AWS-native data platforms — lakehouse, warehouse, streaming, and data product layers — from discovery through production hardening
• Produce and maintain architecture artefacts: solution design documents, HLD/LLD, data flow and lineage diagrams, ADRs (Architecture Decision Records)
• Define the target-state roadmap and lead modernisation and migration programmes (on-premises Hadoop/Teradata/Informatica → AWS; legacy ETL → Glue/EMR/Iceberg)
• Evaluate and select services, table formats, and third-party tooling with clear trade-off analysis on cost, performance, operability, and lock-in

What you need

• 10–15 yrs of experience
• Python
• AWS
• Spark
• Data visualisation
• SQL
• Machine learning
• B.Sc or B.Tech or B.E. or BCA

Good to have

• ETL
• Redshift
• LLMs
• Hadoop
• Informatica
• dbt

What you get

• ₹35 L–₹50 L a year