About T-Mobile:
T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.
About TMUS Global Solutions:
TMUS Global Solutionsis a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.
TMUS India Private Limited operates as TMUS Global Solutions.
Senior Architect, Systems – Data Ingest Engineering
About the Role:
Data Ingest Engineering is the central engineering team building the Enterprise Unified Ingestion Framework for the future that delivers the right data, at the right speed, with the right governance — to every consumer: a T-Mobile customer opening an app, a business analyst asking a natural language question, or an AI agent executing autonomously.
As a Senior Architect, Systems, you will define and own the architectural patterns that make the Unified Ingestion Framework scale — designing and delivering the batch and streaming framework for how data flows from a source system to the Lakehouse. We pride ourselves on fostering a culture of innovation, agile ways of working, and transparency in everything we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!
What You’ll Do:
- Define and own the reference architecture for T-Mobile’s data ingestion framework for both batch and streaming.
- Design and set technical standards for high-throughput, event-driven architectures to power near real-time data pipelines for ingesting into Azure + Databricks Lakehouse.
- Architect AI capabilities to enhance and optimize the Unified Ingestion Framework.
- Partner with peer architects across Serving, Data Product, Semantic Layer, Governance, and Platform Engineering to ensure end-to-end coherence.
- Define SLAs, SLOs, and observability standards with SREs for data ingest infrastructure.
- Design Infrastructure-as-Code standards in repeatable, governed way.
- Lead architecture reviews, evaluate emerging technologies, and recommend platform investments.
- Mentor engineers and raise the architectural capability of the team.
What You’ll Bring:
- 7+ years of systems engineering and architecture experience, including data platforms and large-scale distributed systems.
- Proven track record defining reference architectures for data integration in enterprise environments.
- Deep expertise in data platform architecture: Lakehouse patterns, Delta Lake, Unity Catalog, and modern data product design.
- Hands-on knowledge of streaming architectures (Kafka, Redis, CDC, event-driven serving).
- Hands-on experience with the Microsoft Azure data platform — Azure Data Factory, Event Hubs, Blob Storage, ADLS Gen2, and Azure DevOps for orchestration and CI/CD
- Proven experience with Infrastructure as Code (Terraform or comparable)
- Strong communication skills with the ability to influence senior stakeholders and lead technical decisions across global teams.
Must Have Skills:
- Data Platform Architecture (Lakehouse, Delta Lake, Azure Databricks)
- Kafka / Streaming Frameworks
- Infrastructure as Code and CI/CD
- Experience with Cloud Native Tools
Nice-to-Have:
- Building data infrastructure for AI use cases
- Prior architecture leadership in large enterprise data integration or data platform engineering environments
- Prior experience in enterprise platform migrations
