Snowflake + SAP - Manager

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 + SAP Senior Associate you will focus on designing and building data infrastructure, pipelines, integration, and transformation solutions that help turn raw data into actionable insights for client work within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex issues, build meaningful client connections, anticipate team and client needs, and guide junior team members while developing your technical skills and business context. In this role at PwC, you will help deliver data engineering solutions that support Snowflake and SAP environments, use critical thinking to break down complex concepts, interpret data to inform insights and recommendations, and uphold professional and technical standards while navigating changing priorities and ambiguous work settings.

Responsibilities

- Designing and developing Snowflake and SAP data pipelines to move, transform, and load enterprise data for client solutions
- Building data integration and transformation workflows that support analytics, reporting, and downstream application needs
- Translating business requirements into data models, warehouse structures, and scalable engineering designs
- Optimizing query performance, data loads, and warehouse structures to improve processing efficiency
- Validating data quality, reconciliation logic, and pipeline outputs across source and target systems
- Applying data engineering tools and methods to automate orchestration, scheduling, and monitoring activities
- Interpreting complex data issues, identifying root causes, and recommending remediation approaches
- Collaborating with client stakeholders and internal teams to gather requirements, track progress, and address technical issues
- Supporting solution delivery by reviewing work products, sharing technical guidance, and mentoring junior team members

What You Must Have

- At least a Bachelor's degree
- At least 4 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 SAP data integration experience
- Applying data engineering methods for cloud modernization projects
- Interpreting complex data to inform client recommendations
- Collaborating across teams while managing assigned workstreams
- Mentoring junior team members through project delivery

Travel Requirements

Not Specified

Job Posting End Date