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Salary
≈ $22k – $46k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

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

Analytics

Management Level

Senior 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 Senior Manager you will lead data engineering work focused on designing and building data pipelines, integration, and transformation solutions that convert raw data into actionable insights for clients within our Data and Analytics Engineering practice. As a Senior Manager you will lead large projects, bring strategic direction to complex data programs, and use sound judgment to guide teams through ambiguity while communicating clearly with clients and stakeholders. In this role at PwC, you will help shape data infrastructure and systems that support Snowflake and Cortex solutions, while coaching teams, driving process improvement, and contributing to operational excellence across client delivery.

Responsibilities

- Leading Snowflake and Cortex data engineering engagements from strategy through delivery for client environments

- Designing and building data pipelines, integration patterns, and transformation logic across cloud data platforms

- Advising clients on data architecture, data modeling, and warehouse design choices that support analytics use cases

- Coordinating technical workstreams for data ingestion, validation, performance tuning, and query optimization

- Applying AWS, Azure Data Factory, Databricks, Apache Airflow, and SQL-based tools to develop scalable data solutions

- Reviewing data quality controls, security practices, and platform configurations across development and production environments

- Guiding teams through complex delivery issues, resolving blockers, and adjusting plans as priorities shift

- Translating business requirements into technical designs and communicating progress, risks, and solution options to stakeholders

What You Must Have

- At least a Bachelor's degree

- At least 12 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

- Leveraging Snowflake and Cortex experience across data modernization programs

- Applying systems thinking to complex data engineering challenges

- Translating client needs into clear technical solution narratives

- Demonstrating coaching, feedback, and team development in delivery settings

- Navigating ambiguity while directing work across multiple stakeholders

Travel Requirements

Not Specified

Job Posting End Date

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