Job description

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! Job Overview We're looking for a Principal Data Engineer who brings strong technical judgment, a product-oriented mindset, and the ability to own data solutions end-to-end—from architecture and modeling to implementation and delivery—in a dynamic AdTech environment. You'll join a fast paced team that builds, runs, and operates the T-Mobile Advertising Solutions (T-Ads) platforms, including our audience building, rideshare, and retail media network solutions. This is a product used by all the major advertising agencies and many top consumer product brands in the United States. This role leads the development and implementation of data pipelines critical to organizational data infrastructure and analytics capabilities. You'll combine technical leadership with hands-on contributions to achieve data engineering initiatives. If you thrive on collaborating with multi-functional teams to solve complex data challenges, designing scalable data architectures, and deploying robust data pipelines to the cloud, we want to talk to you! Job Responsibilities : Lead the design and development of data warehouse and business analytics solutions to ensure scalable and reliable data infrastructure Collaborate with cross-functional teams to analyze and architect data solutions that meet business requirements Research and recommend technical approaches to address complex data migration, development, and integration challenges Provide hands-on leadership in data implementation projects and manage independent workstreams to deliver project objectives Facilitate workshops and design sessions to build relationships and align data engineering efforts with organizational goals Mentor data engineers to develop their skills in data architecture and engineering practices Assist team management in defining projects, including helping estimate, plan and scope work and other duties/projects as assigned by business management as needed   Education and Work Experience : Bachelor s Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required) Acceptable areas of study include Mathematics, Computer Science, Engineering, Finance, Statistics, or related technical field (Required) 7-10 years Related experience as a Data Engineer (Required) 5 years developing cloud solutions using data services (Required) Minimum 3 years of managing or leading/coaching data engineering teams (Required) Experience designing and building self-service analytics and big data solutions using cloud technologies (e.g., EMR, Aurora, Redshift, Glue, S3, SWF, Quicksight etc.) (Required) Experience with the Software development Life Cycle (SDLC) and Agile/Scrum methods (Preferred) Knowledge, Skills and Abilities : Cloud Computing (Required) Collaboration (Required) Data Architecture (Required) Data Engineering (Required) Databricks DBRX (Required) Engineering Leadership (Required) Project Scoping (Required) Snowflake (Platform) (Required) Licenses and Certifications : Cloud platform certification(s) (AWS Certified Solutions Architect, AWS Certified Cloud Practitioner, OR Microsoft Certified Solutions Associate (MCSA) (Required) 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: $125,600 - $226,600 Corporate Bonus Target: 20% 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, paylookup.t-mobile.com 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! 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 ApplicantAccommodation t-mobile.com or calling 1-844-873-9500. 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.

Requirements

Must-haves

Job Overview
Lead the design and development of data warehouse and business analytics solutions to ensure scalable and reliable data infrastructure
Collaborate with cross-functional teams to analyze and architect data solutions that meet business requirements
Research and recommend technical approaches to address complex data migration, development, and integration challenges
Provide hands-on leadership in data implementation projects and manage independent workstreams to deliver project objectives
Facilitate workshops and design sessions to build relationships and align data engineering efforts with organizational goals
Mentor data engineers to develop their skills in data architecture and engineering practices
Assist team management in defining projects, including helping estimate, plan and scope work and other duties/projects as assigned by business management as needed
Bachelor s Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
Acceptable areas of study include Mathematics, Computer Science, Engineering, Finance, Statistics, or related technical field (Required)
7-10 years Related experience as a Data Engineer (Required)
5 years developing cloud solutions using data services (Required)
Minimum 3 years of managing or leading/coaching data engineering teams (Required)
Experience designing and building self-service analytics and big data solutions using cloud technologies (e.g., EMR, Aurora, Redshift, Glue, S3, SWF, Quicksight etc.) (Required)
Cloud Computing (Required)
Collaboration (Required)
Data Architecture (Required)
Data Engineering (Required)
Databricks DBRX (Required)
Engineering Leadership (Required)
Project Scoping (Required)
Snowflake (Platform) (Required)

Nice-to-haves

Experience with the Software development Life Cycle (SDLC) and Agile/Scrum methods (Preferred)
Corporate Bonus Target: 20%

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilescrumaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off