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.
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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 convert

📌 Data Engineering Lead (India)
🏢 Jobgether
📍 India