Snowflake + SAP - Senior Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

PwC Acceleration Center India seeks a Snowflake + SAP Senior Manager to lead data engineering efforts, designing and delivering data pipelines, integration, and transformation across cloud and enterprise platforms. You will guide teams, translate business requirements into scalable data architecture, and coordinate stakeholders to ensure quality and timely delivery.

You will shape data solutions turning raw information into usable insights, supporting informed decisions and business growth

Qualifications

• Bachelor's degree required.
• At least 12 years of experience.
• English proficiency (oral and written) required.

Responsibilities

• Leading Snowflake and SAP data engineering workstreams for client delivery and modernization initiatives.
• Designing data pipelines, integration flows, and transformation logic across cloud and enterprise platforms.
• Translating requirements into scalable data architecture, modeling, and warehouse solutions.
• Guiding teams through complex delivery, resolving issues affecting timelines and quality.
• Reviewing data quality, performance, and troubleshooting across pipelines and storage.

Education

Bachelor's degree

Tools

Snowflake

SAP

Job description

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