Description
You operate at the frontier of contemporary data engineering. You understand that AI is not a futureconsideration — it is a present-day design constraint. You build data infrastructure that is AI-ready by default: pipelines that serve feature stores, architectures that can support RAG andLLM applications, and platforms capable of integrating AI-assisted tooling at every stage of theengineering lifecycle.

In a global team spanning Europe, the US, and India, you are a connector — bridging technicaldepth with business context, and aligning local delivery with global standards

Responsibilities
- Technical Architecture & Delivery
- Lead the end-to-end design and delivery of complex data engineering solutions on GCP —from architecture through production deployment
- Architect scalable, cost-effective data platforms using BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataplex, and Cloud Storage
- Design robust data models using Dimensional (Kimball), 3NF, and Data Vault methodologies— selecting the right approach for each use case




- Implement SCD strategies and historical data management patterns for long-lived datasets
- Lead the migration of legacy data structures to GCP, defining parallel testing and data parity validation strategies
- Provision and govern cloud infrastructure using Terraform; champion IaC as a non-negotiable standard
- Design and implement CI/CD pipelines for all data solutions — with automated testing, linting,and deployment gates
- AI-Era Responsibilities
- AI-ready architecture: Design every data platform component to be downstream-AI-compatible — appropriate partitioning, feature store integration, and schema design for ML consumption
- GenAI data infrastructure: Architect data pipelines for LLM-based applications, includingembedding generation pipelines, vector store population, and RAG data retrieval layers
- Feature store engineering: Build and maintain centralised feature stores on Vertex AI, ensuring reproducibility and low-latency serv

📌 Data Engineer (Chennai)
🏢 Ford Motor
📍 Chennai