Tata Consultancy Services

DQ Lab Data Quality Engineer

Tata Consultancy Services • $75K — $135K *
Charlotte, NC 28269In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years of Data Quality, Governance, or Management experience
  • Strong understanding of Critical Data Elements, Business Glossary, Data Lineage, and Metadata Management
  • Experience implementing enterprise Data Quality programs
  • Knowledge of Data Quality dimensions and measurement frameworks
  • Familiarity with DQLabs, Collibra, and Informatica

Responsibilities

  • Implement and manage the DQLabs Data Quality platform and observability capabilities
  • Profile source systems to identify Critical Data Elements (CDEs)
  • Define and maintain data quality rules focusing on various aspects such as Completeness and Accuracy
  • Develop metadata-driven frameworks and scorecards for Data Quality
  • Create dashboards and executive reports for stakeholders
  • Analyze data quality issues and coordinate remediation efforts
  • Establish Data Quality SLAs, thresholds, and governance processes

Benefits

  • Access to cutting-edge Data Quality tools and platforms
  • Opportunity to collaborate with cross-functional teams in a dynamic environment
  • Involvement in audit, compliance, and regulatory reporting requirements
  • Chance to work on continuous improvement initiatives
  • Development of enterprise-level Data Quality capabilities in the insurance sector
Full Job Description
Must Have Technical/Functional Skills

  • Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains.
  • Implement and administer DQLabs Data Quality platform and related data observability capabilities.
  • Profile source systems and identify Critical Data Elements (CDEs).
  • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
  • Develop metadata-driven Data Quality frameworks and scorecards.
  • Build DQ dashboards and executive reporting for business and technology stakeholders.
  • Analyze data quality issues and drive remediation with business and application teams.
  • Establish Data Quality SLAs, thresholds, ownership, and governance processes.
  • Integrate DQ monitoring with Data Governance and Metadata Management platforms.
  • Support audit, compliance, regulatory, and reporting requirements.
  • Create quality trend reports, root cause analyses, and continuous improvement plans.
  • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.
  • Data Stewardship & Governance Enablement
  • Good to have Insurance Brokerage domain experience as needs to collaborate with Business
  • Data Stewards and Data Owners to govern data quality processes.
  • Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.


Roles & Responsibilities

  • Implement and administer DQLabs Data Quality platform and related data observability capabilities.
  • Profile source systems and identify Critical Data Elements (CDEs).
  • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
  • Develop metadata-driven Data Quality frameworks and scorecards.
  • Build DQ dashboards and executive reporting for business and technology stakeholders.
  • Analyze data quality issues and drive remediation with business and application teams.
  • Establish Data Quality SLAs, thresholds, ownership, and governance processes.
  • Integrate DQ monitoring with Data Governance and Metadata Management platforms.
  • Support audit, compliance, regulatory, and reporting requirements.
  • Create quality trend reports, root cause analyses, and continuous improvement plans.
  • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.


Data Quality & Governance

  • 7+ years of Data Quality, Data Governance, or Data Management experience.
  • Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship.
  • Experience implementing enterprise Data Quality programs.
  • Knowledge of Data Quality dimensions and measurement frameworks.
  • DQLabs / DQ Tools / Collibra / Informatica
  • Hands-on experience in DQLabs Insurance Brokerage experience is nice to have


Data Stewardship & Governance Enablement

  • Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes.
  • Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.

Salary: $75,000 - $135,000

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
Learn more about Tata Consultancy Services
Size
469,261 employees
Industry
Information Technology
* Ladders Estimates

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