Sr Manager, Data Engineering

T-Mobile•Overland Park, KS
•$141,100 - $254,600

About The Position

The Sr Manager, Data Engineering leads a team that designs and develops data warehouse and business analytics solutions for the organization’s finance data needs. The role manages the planning and delivery of data engineering projects, ensuring high-quality, reliable data pipelines. It provides technical guidance and collaborates across teams to deliver end-to-end solutions aligned with business requirements. The position is part of T-Mobile’s Finance Data & Insights team, which works across finance, operations, and technology to help senior leaders make informed decisions. The leader will build and guide the data engineering team supporting finance analytics and partner across the enterprise to shape strategy through data. Success is measured by the strength of the data infrastructure, team performance, and accuracy of data delivered to stakeholders. The work supports informed decision-making and operational efficiency through robust data systems and processes.

Requirements

  • 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.
  • Required knowledge and skills: Business Informatics, Cloud Computing, Data Engineering, Data Warehousing (DW), Databricks (DBRX), Snowflake (Platform), People Management, Product Management Leadership, Software Development Life Cycle (SDLC), and Solution Architecture.
  • At least 18 years of age.
  • Legally authorized to work in the United States.

Nice To Haves

  • 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.
  • Comfort with ambiguity and ability to turn loosely defined ideas into high-impact outcomes.
  • Strong communication skills, including the ability to distill complexity into clarity and adapt messages to the audience.

Responsibilities

  • Lead a team that designs and develops data warehouse and business analytics solutions for finance data needs.
  • Manage the planning and delivery of data engineering projects.
  • Ensure data pipelines are high quality and reliable.
  • Provide technical guidance and work across teams to deliver end-to-end solutions aligned with business requirements.
  • Build and guide the data engineering team behind finance analytics.
  • Partner with teams across the enterprise to shape strategy through data.
  • Support informed decision-making and operational efficiency through robust data systems and processes.

Benefits

  • Competitive base salary and compensation package.
  • Annual stock grant.
  • Employee stock purchase plan.
  • 401(k).
  • Access to free, year-round money coaches.
  • Annual bonus or periodic sales incentive or bonus, based on role and eligibility.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Flexible spending account.
  • Paid time off.
  • Up to 12 paid holidays.
  • Paid parental and family leave.
  • Family building benefits.
  • Back-up care.
  • Enhanced family support.
  • Childcare subsidy.
  • Tuition assistance.
  • College coaching.
  • Short- and long-term disability coverage.
  • Voluntary AD&D coverage.
  • Voluntary accident coverage.
  • Voluntary life insurance.
  • Voluntary disability insurance.
  • Voluntary long-term care insurance.
  • Mobile service and home internet discounts for eligible employees.
  • Pet insurance for eligible employees.
  • Commuter and transit programs for eligible employees.
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