Reports to: Head of Data & Analytics / Delivery Leadership

About The Role

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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.

You will set the technical direction for large-scale batch and streaming platforms, make the build-versus-buy and pattern decisions that shape delivery for years, and remain close enough to the code to review it, tune it, and unblock the team when it matters. Success in this role is measured as much by the capability you build in others as by the systems you build yourself.

Key Responsibilities

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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), and reference implementations.
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 transparent trade-off analysis on cost, performance, operability, and lock-in.
Design for non-functional requirements from day one — availability, recoverability (RTO/RPO), scalability, multi-tenancy, and disaster recovery.

PLATFORM & PIPELINE ENGINEERING

Direct the design and build of scalable batch and streaming pipelines using AWS Glue, Amazon EMR, Amazon Kinesis, Amazon MSK, and AWS Lambda.
Model and optimise analytical data stores in Amazon Redshift and S3-based data lakes — partitioning strategy, file

📌 Senior Data Engineer (Gurugram)
🏢 Minfy
📍 Gurugram