PwC—IN · Manager · SAP Data Engineer · GCC · Advisory · Pune

Job description

Description: Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager 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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *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: We are seeking a Senior Data Governance Engineer with strong expertise in the Azure ecosystem and Databricks platform to lead the design and implementation of data governance frameworks and solutions. The successful candidate will combine hands-on technical skills in PySpark, Python, and SQL with deep domain knowledge of data governance tools such as Azure Purview and Databricks Unity Catalog. Exposure to Databricks Genie for orchestration will be an added advantage. You will play a critical role in ensuring data quality, security, compliance, and accessibility across the organization’s data assets by collaborating closely with data engineering, security, compliance, and business teams. 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. Mandatory skill sets: - 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 skill sets: - 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. Years of experience required: 8-14 years Education qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date May 17, 2026