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pwc

Snowflake + SAP - Senior Manager

Bengaluru · Director

Recently posted - highest visibilityVerified listingPosted 2d ago

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Skills required

8 listed
Management Information SystemsInformation SciencesChemical EngineeringIndustrial EngineeringMathematical StatisticsSystems ThinkingSnowflake (Data Warehouse)Statistics
Management Information SystemsInformation SciencesChemical EngineeringIndustrial EngineeringMathematical Statistics

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Job description

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 + 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

Travel Requirements

Not Specified

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

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  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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