Sr Engineers, Data

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T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Engineers, Data located in Frisco, TX, will serve as the Single-Point-of-Contact (SPOC) for all data, automation, and reporting infrastructure.

Position duties and responsibilities include, but are not limited to:

• Architect and implement robust data pipelines and systems that support large-scale ingestion, transformation, and delivery of data across hybrid cloud environments.

• Evolve the current infrastructure to be more modular, cloud-native, and ML-ready, ensuring high availability and performance across Wholesale analytics needs.

• Act as the technical lead and SME for AI/ML technologies within Wholesale, influencing the roadmap by identifying opportunities where machine learning can drive measurable business value.

• Design and support pipelines that facilitate the deployment and monitoring of ML models in production in collaboration with data science partners.

• Contribute to the governance and ethical application of AI, helping define best practices for responsible ML usage across the organization.

• Mentor junior engineers and analysts in the Wholesale organization on cloud-native architecture, and advanced analytics.

• Partner with other teams to ensure alignment with enterprise standards and to facilitate data democratization across the business.

• Continue to serve as Wholesale’s liaison to T-Mobile’s ETS, Security, Product Owners, and external vendors such as Snowflake, Salesforce, Alteryx, AWS, and Microsoft.

• Shape data governance and technical standards in partnership with stakeholders to maintain secure and compliant data environments.

• Lead the design and deployment of reusable frameworks for real-time and batch data processing using technologies such as Spark, Python, SQL, and Azure Data Factory.

• Drive initiatives to automate repetitive tasks, enhance data quality, and streamline reporting/analytics for end-users.

• Collaborate with senior business leaders to translate strategic objectives into data initiatives, and support long-term roadmapping of data and AI capabilities within Wholesale.

• Explore emerging data technologies, including generative AI, feature stores, and ML Ops, that can shape the next generation of Wholesale data systems.

• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Skill requirements:

• (1) Architecting and optimizing cross-platform ETL frameworks spanning Snowflake, SQL Server, Azure, Netcracker, Databricks, and Google Analytics, enabling robust, scalable data ecosystems that power advanced analytics and AI workloads.

• (2) Designing and implementing intelligent automation strategies using tools that include Alteryx, Power Automate, and Snowflake schedulers to streamline complex data flows, eliminate redundancy, and strengthen enterprise data reliability.

• (3) Acting as a strategic data subject matter expert, stewarding integrated data lab environments in Snowflake and SQL Server, and leading unified data ingestion efforts that promote a centralized and governed analytics infrastructure.

• (4) Being a champion for data-driven storytelling through Power BI, including advanced Gateway configuration, self-service enablement, and integration of AI-assisted insights via Microsoft Copilot and Snowflake Cortex to accelerate business intelligence delivery.

• (5) Leading innovation in secure virtualized analytics environments by managing Polaris-based vRA systems to ensure cybersecurity compliance and maximize remote analytics capabilities.

• (6) Advancing next-gen analytics capabilities by integrating AI into reporting workflows using Microsoft Copilot and OpenAI APIs, enabling AI-assisted querying, model training, and scalable data augmentation for future-ready insights.

Experience and education requirements:

PRIMARY REQUIREMENTS: Master’s degree in Data Science or related, and 3 year of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor’s de