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. "
Responsibilities:
Develop, implement, and maintain enterprise-wide data governance policies, procedures, and standards within the Azure ecosystem.
Leverage
Azure Purview
to manage data catalogs, lineage, classification, and metadata across multiple data sources.
Design and implement data access controls, data stewardship models, and compliance monitoring using
Databricks Unity Catalog
.
Build and maintain data quality and validation frameworks using
PySpark
,
Python
, and
SQL
within Azure Databricks environments.
Collaborate with engineering teams to embed governance standards into data pipelines and workflows.
Monitor adherence to data governance policies and regulatory compliance (e.g., GDPR, HIPAA) leveraging Azure and Databricks tools.
Utilize
Databricks Genie
or similar orchestration tools for automated workflow scheduling and job monitoring with governance checks.
Develop dashboards, reports, and alerts to track key data governance metrics and incidents.
Conduct training and awareness sessions to enhance data governance literacy across the organization.
Work across cross-functional teams including legal, security, risk, and business units to align governance strategies.
Stay current with emerging trends and best practices in data governance and cloud data platforms.
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related discipline.
5+ years of experience in data governance, data management, or data engineering roles within Azure-based environments.
Strong hands-on experience with
Azure Purview
for data cataloging, metadata management, and lineage tracking.
Proficiency in
Databricks Unity Catalog
to enforce fine-grained access control, data classification, and policy enforcement.
Expertise in developing data workflows and governance automation using
PySpark
,
Python
, and
SQL
on Azure Databricks.
Solid understanding of data governance principles, data privacy regulations, and compliance frameworks.
Some exposure to
Databricks Genie
or similar
orchestration/scheduling
tools.
Experience collaborating with data stewards, data owners, security teams, and compliance officers.
Strong analytical, documentation, and communication skills.
Preferred Qualifications:
Azure certifications such as Azure Data Engineer Associate or Azure Security Engineer.
Familiarity with Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure Synapse Analytics.
Knowledge of DevOps and CI/CD pipelines in data governance automation.
Awareness or experience with
LangGraph
for integrating language models with data governance and knowledge graph processes is a plus.
What We Offer:
Competitive salary and comprehensive benefits.
Opportunity to lead critical data governance initiatives on cloud platforms.
Collaborative and innovative work environment.
Opportunities for professional growth and learning.
Mandatory skill sets:
PySpark, Python, and SQL within Azure Databricks environments.Azure Purview
Preferred skill sets:
Databricks Genie
Years of
experience required:
4-7 Years
Education qualification:
B.E,B.Tech, MCA,M.E,M.Tech
Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications
(if blank, certifications not specified)
Required Skills
Microsoft Azure Databricks, Microsoft Azure SQL Database
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, 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
May 5, 2026
