This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Data Platform based in India.

This is a hands-on senior engineering role focused on building a modern, AI-native data platform at massive scale. You’ll architect the transformation and warehouse layer that turns billions of raw records into accurate, trusted B2B data. You’ll design production-grade systems for LLM-powered extraction, enrichment, validation, and entity resolution. The role combines deep technical ownership with solid architectural judgment around performance, reliability, cost, and data quality. You’ll work across data engineering, AI, analytics, and product teams in a lean, highly autonomous environment. Your work will establish reusable standards and infrastructure that directly influence the quality of data delivered to customers globally.

Accountabilities
- Architect and build scalable transformation, warehouse, and data-processing systems capable of handling billions of records across multiple markets.




- Design production patterns for LLM-powered extraction, enrichment, entity resolution, and semantic validation, including structured outputs, retries, fallbacks, and reusable abstractions.
- Develop evaluation frameworks with labelled datasets, scoring mechanisms, judge calibration, regression suites, and measurable precision/recall targets for AI-powered data workflows.
- Establish clear standards for when deterministic rules, SQL, data contracts, and dbt tests should be used versus when LLM-based validation is appropriate.
- Own warehouse architecture and optimization, including dbt transformation layers, Snowflake performance, clustering, materialization strategies, access controls, and cost management.
- Build reliable orchestration and infrastructure patterns using Airflow and AWS, with appropriate recovery, dependency management, scheduling, and infrastructure-as-code practices.
- Implem

📌 Senior Data Engineer (India)
🏢 Jobgether
📍 India