Data Engineering Manager, Tax Innovation & Delivery Experience

PwC

Manager focusing on designing and building data infrastructure, implementing data pipelines, and leading teams at PwC. Opportunity to work with advanced technologies in a dynamic environment.

Posted 6/17/2026full-timeNew York City • California, Connecticut, Illinois, New York • 🇺🇸 United StatesMid-LevelSenior💰 $99,000 - $266,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data infrastructure designdata processingdata analysisdata pipelinesdata integrationdata transformationdata architecturedata modelingdatabase administrationdata optimization

Soft Skills

leadershipcoachingmentoringstrategic planningexecutioninnovationteam managementcommunicationproblem-solvingcollaboration

Tools & Technologies

Azure Data FactoryDatabricks Unified Data Analytics PlatformMicrosoft Azuredata warehousesdata engineering platforms

Certifications & Qualifications

Bachelor's degree

Industry Keywords

data securitydata integritycomplianceagile scalabilitydata anonymization

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

At least a Bachelor's degree
At least 4 years of experience
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

Benefits

Comp & perks

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave
annual discretionary bonus