Overview
Lead Snowflake and SAP data engineering efforts within PwC's Data and Analytics Engineering practice, designing and delivering data pipelines, integration and transformation solutions for clients.
What you'll do
- Lead Snowflake and SAP data engineering workstreams for client delivery and modernization initiatives
- Design and implement data pipelines, integration flows, and transformation logic across cloud and enterprise platforms
- Translate business and technical requirements into scalable data architecture, modeling, and warehouse solutions
- Guide teams through complex delivery efforts, resolving issues that affect timelines, quality, and adoption
- Review data quality, performance tuning, and troubleshoot pipelines, queries, and storage layers
- Apply Snowflake features, data warehouse design, and orchestration tools to improve processing and reporting
- Coordinate stakeholder discussions to validate solution direction, surface risks, and align priorities
- Coach team members on engineering methods, delivery planning, and technical problem-solving
- Advance modernization approaches that improve data accessibility, integration, and analytics readiness
What you'll need
- At least a Bachelor's degree
- At least 12 years of experience
- Oral and written proficiency in English
Nice to have
- 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
Read the full description and apply on the company’s own careers page.