IN_Senior Associate_Data Snowflake Developer_ GCC_Advisory_Gurgaon

Price Waterhouse Cooper LLP; Gurugram District; On-site; INR 1,200,000 - 1,800,000; 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 for enterprise data ecosystems in India.

You will configure domains, workflows, glossaries, and lineage, develop DG integrations via APIs and ETL tools, perform data profiling and quality validations, and onboard data sources across Azure or AWS environments in a dynamic on-site Gurgaon team.

Qualifications

• 3–8 years of experience in data governance and data cataloging.
• Hands-on with DG/DQ tools like Collibra, Informatica, Alation, Purview, or Talend.
• Strong knowledge of metadata management, data stewardship, and data quality.
• Experience integrating DG tools with enterprise data sources via APIs or ETL tools.
• Proficiency in data profiling, data quality validations, and metadata ingestion.
• Cloud experience with Azure or AWS is a plus.

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.
• 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.
• Troubleshoot, debug, and optimize DG workflows and integrations for accuracy and efficiency.
• Onboard data sources into DG and DQ platforms, including ETL/ELT pipeline setup and metadata ingestion.

Skills

DG configuration

Data Catalog

Data Governance

APIs integration

Data profiling

Education

BE/B.Tech

MBA

Tools

Collibra

Informatica

Alation

Purview

Talend

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

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

BE, B.Tech, MCA, MBA, M.Tech

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering

Required Skills

AWS Database Migration Service (DMS), Database Modeling, Snowflake Data Warehouse

Optional Skills

Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining