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Salary
≈ $31k – $57k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026. PwC UK scores B on the Alion truth index.

Overview
Company
Impact
Profile match
PwC UK is the British member firm of the PricewaterhouseCoopers network, based in London and providing audit and assurance, tax, deals, consulting and managed services to companies and public bodies. The PwC network was formed in 1998 by the merger of Price Waterhouse and Coopers and Lybrand, and the UK firm has offices in cities such as Birmingham, Manchester, Leeds, Bristol, Belfast and Edinburgh. The job board linked to this record is a global PwC site that also lists Acceleration Center roles in India, Mexico and the Philippines, hiring associates to directors in managed services, Workday, cybersecurity, tax, strategy and technology consulting.

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As a Snowflake+Cortex+Data Quality & Governance Manager you will lead client support work in data engineering, focusing on Snowflake, Cortex, data quality, and governance solutions that help turn data into usable insight. As a Manager you will coach teams, guide delivery across multiple workstreams, and use sound judgment to manage priorities, develop talent, and uphold quality across client engagements. In this role at PwC, you will shape data pipelines, data integration, and data transformation efforts within our Advisory practice, while working across cloud-based data platforms and modern analytics tools.

Responsibilities

- Leading data engineering workstreams focused on Snowflake and Cortex solutions for data quality and governance initiatives

- Managing project planning, budgeting, delivery timelines, and issue resolution across client engagements

- Guiding teams in designing data pipelines, integration flows, and transformation logic that support modernized data platforms

- Overseeing data quality controls, validation rules, and monitoring processes across Snowflake-based environments

- Developing governance practices for data modeling, metadata management, access controls, and data security

- Applying Databricks, Azure Data Factory, Apache Airflow, and cloud data platforms to build scalable data solutions

- Reviewing technical deliverables, assessing system interactions, and identifying risks across complex data environments

- Coaching team members, managing performance, and developing technical skills across data engineering workstreams

What You Must Have

- At least a Bachelor's degree

- At least 9+ years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics

- Demonstrating Snowflake and Cortex data quality governance experience

- Leading cloud data modernization initiatives across enterprise environments

- Applying data validation, data quality, and data governance methods

- Coordinating teams across planning, execution, and delivery milestones

- Mentoring junior professionals through coaching and feedback

- Analyzing complex systems, dependencies, and data workflows

Travel Requirements

Not Specified

Job Posting End Date

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