Senior Associate - Data Governance Officer

IN-Senior Associate_ Data Engineering__ Data & Analytics _ Advisory _Mumbai

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 management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.Why PWCAt 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: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.  

 

About the Role: 
We are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands-on background in data engineering with specific expertise in  Spark, PySpark, and Python. Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering o r Amazon Web Services (AWS) is highly desirable. 

Responsibilities: 

Position: Data Engineering / Senior Associate 
Experience: 5- 8 Years 
Location: Mumbai 
Type: Full Time 
Certifications: Spark 3.0(Mandatory) and/or Databricks Advanced/Professional Architect. 

• Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. 

• Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management. 

• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. 

• Ensure data quality, integrity, and security across all data engineering projects. 

• Implement best practices for data engineering, including code reviews, testing, and documentation. 

• Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing. 

• Work closely with stakeholders to understand business needs and translate them into technical requirements. 

• Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects. 

 

Required Skills: 

• Proven track record of designing and building scalable data pipelines and architectures. 

• Hands-on experience with data processing and transformation. 

• Strong understanding of data warehousing concepts and ETL processes. 

• Excellent problem-solving skills and the ability to troubleshoot complex technical issues. 

• Strong leadership and team management skills. 

• Effective communication skills, both written and verbal. 

Preferred Qualifications: 

• Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS. 

• Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR). 

• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). 

• Experience with data visualization tools and techniques. 

• Familiarity with machine learning and data science concepts. 

 

Mandatory skill sets: 

• Strong experience with data engineering technologies, particularly Spark, PySpark, and Python. 

 

Preferred skill sets:

• Proven experience in data engineering or related roles. 

• Industry certifications related to data engineering or cloud platforms are a plus. 

 

Years of experience required: 

 Experience: 5 - 8 Years 
 

Education qualification: 

 B.Tech / M.Tech / MCA/MBA 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 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

February 18, 2026

Experience Level

Senior Level