Job Overview
Are you ready to join the Un-carrier movement?
This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

T-Mobile's Data & Intelligence Center of Excellence supports the modernization of Finance data platforms across planning and forecasting, revenue accounting, tax compliance, treasury operations, and related reporting functions. In this role, you will help build governed, reliable data pipelines and curated Finance data products using a modern Azure Data Lake Storage and Databricks, DBT lakehouse environment. You will work with architects, product managers, Finance domain experts, and engineering partners to migrate legacy processes, improve data quality, and deliver trusted data for analytics, operational reporting, and compliance-sensitive business processes.
We are a team that encourages innovation and advocates an agile and open approach, truly working and playing in the Un-carrier way!

Job Responsibilities:

• Develop data engineering solutions that enable data pipelines, visualization, analytical tools and AI platforms to support business requirements.
• Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure.
• Build and maintain ingestion pipelines from Finance source systems, including ERP platforms, relational databases, flat files, cloud data warehouses, and API-based feeds, into governed cloud data lake environments.
• Develop and maintain transformation logic and reusable data models using SQL, Python, Databricks, dbt, and related data engineering tools.
• Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights.
• Support migration of legacy ETL, batch, and database-driven Finance processes into modern stack.
• Implement data quality checks, validation rules, monitoring, and reconciliation processes to improve accuracy, completeness, lineage, and timeliness of published data.
• Contribute to SOX-sensitive and audit-aware data engineering practices, including peer review, version control, change traceability, testing, and reproducible data processing where applicable.
• Partner with data architects, product managers, Finance domain teams, and engineering peers to translate business requirements into reliable pipeline and data model designs.
• Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
• Mentor team members to build and enhance their data engineering skills and professional growth.
• Assist management in product definition, including estimating, planning, and scoping work to meet objectives.
• Also responsible for other duties/projects as assigned by business management as needed.

Education and Work Experience

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
• 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
• 4-7 years Hands-on development using and migrating data to cloud platforms (Required)
• Proven track record in SQL, NoSQL, and/or relational database design and development (Required)
• 4-7 years Advanced knowledge and experience in building sophisticated data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)

Additional Required Qualifications

• Hands-on experience building, operating, and solving production data pipelines in cloud, hybrid, or data lakehouse environments.
• Experience developing scalable data models, transformation logic, and curated datasets using SQL, Python, Databricks, or comparable data engineering technologies.
• Experience implementing data quality, reconciliation, monitoring, or validation controls for business-critical data pipelines.
• Experience using version control, peer review, release controls, or CI/CD practices in a production engineering environment.
• Ability to collaborate with architects, product managers, business partners, and engineering teams to translate requirements into reliable data solutions.

Knowledge, Skills and Abilities

• Cloud Computing (Required)
• Collaboration (Required)
• Data Analysis (Required)
• Data Engineering (Required)
• Data Lake (Required)
• Data Management (Required)
• Data Modeling (Required)
• Data Warehousing (DW) (Required)
• Databricks DBRX (Required)
• DBT (Data Build Tool) Framework (Required)

Preferred Qualifications

• 8+ years of data engineering experience.
• 5+ years of experience in cloud-based data lakehouse environments.
• Proficiency in building and using AI stack
• Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Databricks Workflows, Delta Lake, Unity Catalog, or Delta Live Tables.
• Experience with dbt Core, including model layering, testing, documentation, and lineage.
• Experience migrating legacy ETL, reporting, or analytics workloads from tools such as Alteryx, SAS, SSIS, Informatica, IBM TM1, SSAS, or on-premises SQL Server to modern cloud data platforms.
• Experience with Finance domain data, including ERP, planning and forecasting, revenue accounting, tax, treasury, securitization, or regulatory reporting datasets.
• Experience supporting SOX, ITGC, audit-ready lineage, SEC reporting, TISS-310 data classification standards, T-Mobile QSR, or other compliance-sensitive data environments.
• Experience with GitLab CI/CD, Azure DevOps, automated regression testing, or controlled promotion paths across environments.
• Familiarity with Oracle ERP, Oracle EBPCS/BPM, Snowflake, Jira, Confluence, Microsoft Teams, or related enterprise data and collaboration tools.
• Databricks, Azure, AWS, Google Cloud, or related cloud/data certification.

Licenses and Certifications

• Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)
• DBT Analytics or Architect certification (Preferred)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $105,100 - $189,600

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ360712¶dox=1

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!