IN_Sr Associate– Data Management,Data Governance– GCC– Advisory – Kolkata

PwC International; Bidhannagar; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

PwC India is seeking a highly skilled Data Governance Consultant with hands-on experience in designing, configuring, and implementing Data Governance, Data Catalog, and Data Quality solutions. This technical role focuses on leveraging market-leading tools to support enterprise governance, quality, and catalog processes.

With 3–8 years of experience and qualifications such as BE/BTech, MCA, MBA, or MTech, you will enable robust data infrastructure, metadata management, and policy enforcement

Qualifications

• Hands-on experience configuring and implementing Data Governance and Data Catalog features including domains, lineage, workflows, and data quality rules.
• Strong knowledge of metadata management, data stewardship, policy management, and data quality.
• Experience integrating DG tools with enterprise data sources and external systems using APIs, web services, or ETL tools.
• Proficiency in data profiling, data quality validations, and metadata ingestion.

Responsibilities

• Build, configure, and deploy data governance solutions tailored to complex enterprise requirements.
• Configure data domains, org units, business glossaries, workflows, data classification, and lineage to enforce governance.
• Develop and customize DG integrations with enterprise systems via APIs and data integration tools.
• Perform data profiling, data quality validations, and create quality rules and scorecards.
• Troubleshoot and optimize DG workflows and integrations for accuracy and efficiency.
• Onboard data sources into DG and DQ platforms, including ETL/ELT setups and metadata ingestion.

Skills

Data governance

Metadata management

Data quality

APIs & integrations

DG/DQ tools

Education

BE/BTech

MCA

MBA

MTech

Tools

Collibra

Informatica

Alation

Purview

Talend

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: PwC India is seeking a highly skilled Data Governance Consultant with hands‑on experience in designing, configuring, and implementing Data Governance, Data Catalog, and Data Quality solutions. This is a technical role focused on leveraging market‑leading data governance and catalog tools to support enterprise data governance, data quality, and data catalog processes.

Responsibilities

• Build, configure, and deploy data governance solutions leveraging the DG platform tailored to complex enterprise requirements.
• Configure data domains, org units, business glossaries, workflows, data classification, technical lineage, and semantic lineage to enforce data governance frameworks and policies.
• Develop and customize DG integrations with enterprise systems through APIs, connectors, and data integration tools.
• Perform data profiling, data quality validations, and build data quality rules and scorecards using best practices.
• Troubleshoot, debug, and optimize DG workflows and integrations to ensure data accuracy, consistency, and process efficiency.
• Onboard data sources into DG and DQ platforms, including ETL/ELT pipeline setup and metadata ingestion.

Mandatory skill sets

• Hands‑on experience configuring and implementing Data Governance and Data Catalog features including domains, lineage, workflows, and data quality rules.
• Strong knowledge of data governance concepts such as metadata management, data stewardship, policy management, and data quality.
• Experience integrating DG tools with enterprise data sources and external systems using APIs, web services, or ETL tools.
• Proficiency in data profiling, data quality validations, and metadata ingestion.
• Hands‑on experience in one or more DG/DQ tools such as Collibra, Informatica, Alation, Purview, or related tools.

Preferred skill sets

• Professional certification in market‑leading DG/DQ tools such as Informatica, Collibra, Alation, Purview, or Talend.
• Experience with SQL, Python, or other scripting languages relevant to workflow customization and integrations.
• Familiarity with ETL tools such as Azure Data Factory, SSIS, Informatica, or Talend to support data integration.
• Knowledge of cloud environments such as Azure or AWS where DG platforms are deployed.
• Understanding of the overall data management ecosystem including Data Quality, Master Data Management (MDM), and Data Governance frameworks.

Years of experience required: 3 - 8 years

Education qualification: BE, B.Tech, MCA, MBA, M.Tech

Degrees/Field of Study required

• Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)

Degrees/Field of Study preferred

• Certifications (if blank, certifications not specified)

Required Skills Artificial Intelligence (AI) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI‑Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 more} Desired Languages (If blank, desired languages not specified)

Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required?

Job Posting End Date August 10, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.