This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineering Lead - Data Quality Systems based in India.

Lead the engineering of data quality systems that determine whether billions of records can be trusted by customers.
You will combine deep hands-on engineering with technical leadership, spending approximately 80% of your time building and 20% leading a small team.
Your scope will include verification pipelines, anomaly detection, scoring frameworks, LLM evaluation, and automated release gates.
You will tackle complex data-quality challenges across multiple markets and large-scale production environments.
The role offers significant ownership, with greenfield opportunities to establish frameworks and engineering standards from the ground up.
You will work in an AI-native workplace where agentic development, evaluation, observability, and automation are core engineering practices.




This is an ideal opportunity for a technically strong leader who wants direct ownership of a critical data trust layer while remaining deeply involved in the code.

Accountabilities
- Architect and build continuous data-quality systems, including verification, sampling, scoring, and reconciliation pipelines operating across billions of company and people records.
- Design reusable frameworks, abstractions, and technical specifications that allow engineers to create quality checks efficiently, reliably, and consistently.
- Build evaluation harnesses for LLM-powered validation and extraction, including labeled evaluation sets, precision/recall measurement, judge calibration, prompt versioning, and model-drift detection.
- Establish pre- and post-production release gates that identify and prevent poor-quality data from reaching customers, supported by effective failure analysis and triage tooling.
- Investigate large-scale data-quality incidents, identify root causes, implement corrective solutions, and

📌 Data Engineering Lead (India)
🏢 Jobgether
📍 India