Lead Data Engineer, AWS Data Platform

Hiring immediately. We are looking for someone who can start now or on a short notice period.

Experience: 5+ years in data engineering, 1 to 2 of those leading Type: Full-time Location: Remote (India) Working hours: 5:00 PM to 2:00 AM IST. Hard requirement, not a preference.

Stack: AWS (S3, Glue, Redshift, Athena, Lake Formation, SNS/SQS, RDS Postgres), Apache Airflow, a metadata-driven ingestion framework, SQL, Python, GitHub, VS Code, GitHub Copilot

About the role

We run a modern data platform on AWS that feeds analytics and AI/ML teams at an enterprise client. Data moves from a raw landing zone through curated layers into Redshift, driven by a metadata framework rather than hand-written one-off pipelines, and it runs across both non-production and production environments. We want one person accountable for the design, the standards, and the roadmap of that platform. Senior enough to say no to a bad model before it ships, and calm enough to run a backfill without turning it into a war room.

This is an immediate opening on a live project,



so we are moving fast on interviews and offers. If you are available on a short notice period, say so in your application.

The evening shift is real and it is the reason this role is hard to fill. Your day overlaps almost entirely with a US-based stakeholder group, and this role talks to them directly rather than through a proxy. If that overlap does not work for you long term, please do not apply. We would rather lose you now than in month three.

What you will own

The metadata-driven ingestion framework. Extending it, hardening it, and making it the default path for current sources instead of another bespoke pipeline.
The raw to land to Redshift flow. Layer contracts, partitioning, file formats, compaction, and load patterns that stay reliable as source count grows.
The Redshift warehouse. Dimensional models, distribution and sort keys, WLM behaviour, and a real answer for cost per query

📌 Senior AWS Data Engineer (India)
🏢 Neurodrift
📍 India