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

Education

(if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Amazon Web Services (AWS), Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, 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, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel

Requirements

Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 12, 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.