Tax Innovation & Delivery Experience - Data Engineering - Manager

PricewaterhouseCoopers • Stamford, New York • Full Time

Posted on Tue, Jun 16, 2026

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Manager

Job Description & Summary

The Opportunity
As a Tax Innovation & Delivery Experience - Data Engineering - Manager, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will have the opportunity to work with advanced technologies and techniques, contributing to the development of robust data solutions for clients. This position offers a dynamic environment where you can develop skills outside your comfort zone and encourage others to do the same, all while upholding PwC’s quality standards.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering solutions
- Developing data architecture and modeling strategies to support business growth and informed decision-making
- Managing database administration and optimization to enhance data quality and performance
- Applying database security best practices to safeguard data integrity and compliance
- Leading teams in strategic planning and execution of data-driven initiatives
- Coaching and mentoring team members to leverage their strengths and deliver quality outcomes
- Analyzing system components to identify linkages and interactions for improved data solutions
- Encouraging innovation and embracing technology to enhance delivery and client service expectations
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
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
- Excelling in data architecture development and data integration
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing and optimizing data pipelines and data warehouses
- Implementing data anonymization and data security best practices
- Leading teams in agile scalability and strategic questioning
- Mentoring others in data engineering platforms and tools

Travel Requirements

Up to 20%

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