Principal Data Engineer - Data Quality

About the role

We are seeking a visionary and technically strong engineering leader to drive the evolution of our Enterprise Data Quality capabilities and platforms. The Principal Data Engineer, Data Quality will lead the design, development, and adoption of scalable data quality frameworks, services, and engineering practices that improve trust, reliability, observability, and governance of data across the organization.

What you'll do

• Define and drive the enterprise Data Quality strategy, roadmap, architecture, standards, and best practices
• Lead the design, development, and evolution of scalable data quality platforms, frameworks, and shared services supporting batch, streaming, cloud, on-premises
• Architect and govern metadata-driven, reusable, and configurable data quality capabilities, including rule management, observability, profiling, anomaly detection
• Establish enterprise processes for defining, versioning, deploying, and monitoring technical and business data quality rules
• Design and implement Data Quality observability solutions, including trust scores, quality metrics, SLAs, dashboards, alerts, and executive reporting

What you need

• 10–18 yrs of experience
• Machine learning
• SQL
• Python
• LLMs
• Spark
• Data warehousing
• B.Tech or B.E. or B.Sc or BCA or MBA

Good to have

• Root cause analysis
• CI/CD