Sr Engineer, Data Finance Domain

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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-Mobiles 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 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.

• Bachelors 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)

• 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.

• 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)

• 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.

• 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: $105100 - $189600

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidates 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 employees 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 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 dont 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-Mobiles amazing benefits check out.

Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!

T-Mobile USA Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age race ethnicity color religion creed sex sexual orientation gender identity or expression national origin religious affiliation marital status citizenship status veteran status the presence of any physical or mental disability or any other status or characteristic protected by federal state or local law. Discrimination retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process please let us know by emailing or calling 1-. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.