Live opening · Posted 2 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
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 + SAP Senior Manager you will lead data engineering efforts that design and deliver data pipelines, data integration, and data transformation solutions within our Data and Analytics Engineering practice. As a Senior Manager you will use sound judgment, influence, and a strategic mindset to guide complex work, coach teams through ambiguity, and communicate clearly with clients and stakeholders. In this role at PwC, you will help shape data solutions that turn raw information into usable insights, support informed decisions, and contribute to business growth through work that draws on Snowflake, SAP, and modern data architecture.
Responsibilities
Leading Snowflake and SAP data engineering workstreams for client delivery and modernization initiatives
Designing and implementing data pipelines, integration flows, and transformation logic across cloud and enterprise platforms
Translating business and technical requirements into scalable data architecture, modeling, and warehouse solutions
Guiding teams through complex delivery efforts, resolving issues that affect timelines, quality, and adoption
Reviewing data quality, performance tuning, and troubleshooting activities across pipelines, queries, and storage layers
Applying Snowflake features, data warehouse design, and orchestration tools to improve processing and reporting
Coordinating stakeholder discussions to validate solution direction, surface risks, and align priorities
Coaching team members on engineering methods, delivery planning, and technical problem-solving
Advancing modernization approaches that improve data accessibility, integration, and analytics readiness
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
Demonstrating Snowflake data engineering across complex SAP environments
Applying systems thinking to data modernization and transformation initiatives
Crafting client-facing narratives from technical findings and data patterns
Leading cross-functional teams through ambiguity and shifting priorities
Coaching teams while navigating complex delivery challenges and decisions
Work arrangement
No
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