Sr Manager, Data Engineering

Location: Bellevue, Washington

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

About the Team

Our Finance Data & Insights team sits at the intersection of finance, operations, and technology, helping senior leaders cut through the noise and act with confidence. We’re looking for a curious, collaborative, and impact-driven leader to build and guide the data engineering team behind our finance analytics.

You’ll partner with teams across the enterprise to shape strategy through data. This goes well beyond dashboards: it’s about connecting the dots to surface insights and accelerate results across the business.

Role Summary

This role leads a team that designs and develops data warehouse and business analytics solutions to meet the organization’s finance data needs. You’ll manage the planning and delivery of data engineering projects, ensuring data pipelines are high quality and reliable. You’ll provide technical guidance and work across teams to deliver end-to-end solutions aligned with business requirements. Success is measured by the strength of the data infrastructure, team performance, and the accuracy of the data delivered to stakeholders. Your work enables informed decision-making and operational efficiency through robust data systems and processes.

Education and Experience

Required

• Bachelor’s degree plus 7 years of related experience, OR an advanced degree plus 5 years of related experience
• Degree in Finance, Business Administration, Management, Accounting, Economics, Mathematics, Computer Science, Engineering, Statistics, or a related field
• 8+ years working with large, complex datasets, including enterprise-level implementations such as data warehouses, ETL automation, BI visualization tools, and cloud-based data management tools
• 7+ years in analytics, finance, or data strategy roles
• 5-7 years leading and/or coaching senior engineers
• Proficiency in SQL and large datasets, including optimizing code and ETL pipelines to support reporting
• Proven ability to influence senior leaders and drive cross-functional workstreams

Preferred

• Experience with the Software Development Life Cycle (SDLC) and Agile/Scrum methods
• Familiarity with BI tools such as Tableau, Power BI, and Streamlit
• Python experience (or a strong interest in learning)
• Knowledge, Skills, and Abilities

Required

Business Informatics

Cloud Computing

Data Engineering

Data Warehousing (DW)

Databricks (DBRX)

Snowflake (Platform)

People Management

Product Management Leadership

Software Development Life Cycle (SDLC)

Solution Architecture

Also valued

• Comfort with ambiguity and a knack for turning loosely defined ideas into high-impact outcomes
• Strong communication skills: the ability to distill complexity into clarity and adapt your message to your audience
• At least 18 years of age
• Legally authorized to work in the United States
• Additional Locations: Overland Park, Kansas