Senior Architect, Systems Data Serving Engineering

About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas 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 the Role:

Data Serving Engineering is building the serving layer 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 this serving layer scale how data flows from the Lakehouse to every consumer, which serving stores fit which access patterns, how APIs are governed, and how the stack stays observable, secure, and cost-effective at enterprise scale. 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 Youll Do:

- Define and own the reference architecture for T-Mobiles data serving layer patterns for low-latency serving, caching, streaming, and AI-facing data access.
- Set technical standards for API design, contract governance, and versioning across data-serving APIs consumed by applications and AI agents.
- Architect MLOps and AI serving capabilities including feature serving, vector retrieval, and knowledge graph access for agent-facing use cases.
- Design Infrastructure-as-Code blueprints for provisioning serving stores, sync pipelines, and APIs in a repeatable, governed way.
- Partner with peer architects across Ingest, Data Product, Semantic Layer,



Governance, and Platform Engineering to ensure end-to-end coherence.
- Define SLAs, SLOs, and observability standards for data serving systems.
- Lead architecture reviews, evaluate emerging technologies, and recommend platform investments.
- Mentor senior engineers and raise the architectural capability of the team.

What Youll Bring:

- 10+ years of systems engineering and architecture experience, including data platforms and large-scale distributed systems.
- Proven track record defining reference architectures for data serving, caching, and API layers in enterprise environments.
- Deep expertise in data platform architecture: Lakehouse patterns, Multiple cloud experience
- Strong API design and governance experience: REST, contract-first design, versioning strategy, and consumer onboarding.
- Hands-on knowledge of streaming and caching architectures (Kafka, Redis, CDC, event-driven serving).
- Experience designing MLOps and AI serving infrastructure: feature stores, vector retrieval, and data access for AI agents.
- Familiarity with vector databases and graph databases for AI use cases.
- Proven experience with Infrastructure as Code (Terraform or comparable) and CI/CD frameworks.
- Robust communication skills with the ability to influence senior stakeholders and lead technical decisions across global teams.

Must Have Skills:

- Deep expertise in data platform architecture: Lakehouse patterns, Multiple cloud experience
- Hands-on knowledge of streaming and caching architectures (Kafka, Redis, CDC, event-driven serving).
- API Design and Governance
- Streaming and Caching Architecture
- Infrastructure as Code and CI/CD

Nice-to-Have:

- Experience with Knowledge graphs
- Designing MLOps platforms or feature serving systems.
- MCP-style tooling or agent-facing data access patterns.
- Prior architecture leadership in large enterprise environments.

📌 Sr Architect, Systems (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad