Finance Data Engineering Leader—Shaping Data-Driven Decisions

T-MOBILE USA, Inc.

Frisco (TX)

On-site

USD 141,000 - 255,000

Full time

9 days ago

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Benefits offered by this job

Annual stock grant
Employee stock purchase plan
401(k)
Paid time off

Job summary

T-Mobile USA, Inc. seeks a Finance Data & Insights leader to build and guide a data engineering team that supports finance analytics and decision-making. You will partner with enterprise teams to connect data, surface insights, and accelerate results beyond dashboards.

You will manage data warehouse design, ETL pipelines, and cross-functional projects, ensuring reliable data delivery and strategic impact for senior leaders.

Qualifications

  • Bachelor's degree or advanced degree with several years of related finance/data analytics experience.
  • Experience designing data warehouses, ETL automation, BI visualization, and cloud data management.
  • Lead and coach senior engineers; influence senior leaders and cross-functional teams.
  • Proficiency in SQL and large datasets; optimize ETL pipelines for reporting.

Responsibilities

  • Design and develop data warehouse and analytics solutions to meet finance data needs.
  • Manage planning and delivery of data engineering projects; ensure high-quality data pipelines.
  • Provide technical guidance and collaborate across teams to deliver end-to-end solutions.
  • Measure success by data infrastructure strength, team performance, and data accuracy.

Skills

SQL
Data Engineering
Data Warehousing
Databricks
Snowflake
People Management
Product Management Leadership
SDLC
Solution Architecture

Education

Bachelor's degree + 7 years experience
Advanced degree + 5 years experience

Tools

Tableau
Power BI
Streamlit
Python

Job description

T-Mobile USA, Inc. seeks a Finance Data & Insights leader to build and guide a data engineering team that supports finance analytics and decision-making. You will partner with enterprise teams to connect data, surface insights, and accelerate results beyond dashboards.

You will manage data warehouse design, ETL pipelines, and cross-functional projects, ensuring reliable data delivery and strategic impact for senior leaders.

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