Tax Data Engineering Manager: Lead & Architect Data Solutions

PwC; Chicago (IL); On-site; USD 99,000 - 266,000; Full time

Benefits offered by this job

Medical, dental, vision

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking a Tax Innovation - Data Engineer - Manager in Chicago to lead data engineering efforts, design robust data infrastructure, and mentor teams. You will drive data-driven decision making and collaborate with clients to deliver scalable analytics solutions.

Responsibilities include building pipelines, managing data warehouses and lakes, and applying advanced modeling techniques while leveraging Azure Data Factory, Databricks, and Snowflake. A senior-level role with strategic impact.

Qualifications

• Must have a Bachelor's degree.
• Minimum of 5 years of experience in data engineering or related field.

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and managing data pipelines, integration, and transformation solutions to support client needs
• Leading teams in the strategic planning and execution of data engineering projects
• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions
• Building and maintaining data warehouses and lakes to support business intelligence and analytics
• Applying data modeling and dimensional modeling techniques to optimize data architecture
• Overseeing data quality, validation, and security within analytics frameworks
• Encouraging innovation and embracing change to improve data engineering practices
• Mentoring team members to develop their skills and enhance project delivery
• Collaborating with stakeholders to identify opportunities for data-driven business growth

Skills

Leadership

Mentoring

Analytical thinking

Strategic questioning

Education

Bachelor's degree

Tools

Azure Data Factory

Databricks

Snowflake

Job description

PwC is seeking a Tax Innovation - Data Engineer - Manager in Chicago to lead data engineering efforts, design robust data infrastructure, and mentor teams. You will drive data-driven decision making and collaborate with clients to deliver scalable analytics solutions.

Responsibilities include building pipelines, managing data warehouses and lakes, and applying advanced modeling techniques while leveraging Azure Data Factory, Databricks, and Snowflake. A senior-level role with strategic impact.