Data Quality tech lead

VMC Soft Technologies, Inc; Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

VMC Soft Technologies, Inc seeks a Data Quality Tech Lead to drive enterprise-wide data quality initiatives across critical systems. You will define DQ strategy, embed quality controls in data pipelines, and ensure alignment with BFSI regulatory and governance requirements.

You will design rules, perform profiling and RCA, and lead remediation while collaborating with Data Governance teams to define KPIs, SLAs, and dashboards for ongoing governance and data quality improvements.

Qualifications

• 5-10 years in data quality or data governance.
• Experience with BFSI regulatory requirements (BCBS 239, GDPR).
• Ability to define and implement a data quality strategy and framework.

Responsibilities

• Define and implement enterprise data quality strategy, framework, and standards.
• Design data quality rules, validation checks and scorecards.
• Perform data profiling, anomaly detection and data quality assessments.
• Lead RCA and remediation for data quality issues.
• Implement data cleansing, standardization, and enrichment processes.
• Integrate data quality checks into ETL/ELT pipelines (batch & real-time).
• Collaborate with Data Governance teams (EDC, Axon, Collibra).
• Define and track data quality KPIs, SLAs and dashboards.
• Enable metadata-driven data quality management and governance controls.

Skills

Data quality

Data governance

ETL/ELT

RCA

KPIs

Tools

EDC

Axon

Collibra

Job description

Location: Pan India

Experience: 5-10 years

Role Summary

We are seeking a Data Quality Tech Lead to drive enterprise-wide data quality initiatives, ensuring high standards of data accuracy, completeness, consistency, and integrity across critical systems. The role involves defining DQ strategy, implementing scalable frameworks, and embedding quality controls within data pipelines, with strong alignment to BFSI regulatory and governance requirements.

Key Responsibilities

• Define and implement enterprise data quality strategy, framework, and standards
• Design and develop data quality rules, validation checks, and scorecards
• Perform data profiling, anomaly detection, and data quality assessments
• Lead root cause analysis (RCA) and remediation for data quality issues
• Implement data cleansing, standardization, and enrichment processes
• Integrate data quality checks into ETL/ELT pipelines (batch & real-time)
• Collaborate with Data Governance teams (EDC, Axon, Collibra)
• Define and track data quality KPIs, SLAs, and metrics dashboards
• Ensure compliance with regulatory requirements (BCBS 239, GDPR, etc.)
• Enable metadata-driven data quality management
• Drive data issue management workflows and governance controls
• Work closely with Business, Data Stewards, and Engineering teams