Job Description

We are excited to announce an opening for Sr Engineer, Software at TMUS Global

Solutions.

Please find below the details of the role and its responsibilities.

Skills Required: Databricks, PySpark, Python, ADF, Azure Data Factory, Data Factory, Datafactory, Kafka,

SQL, Agentic AI, AI Models

Experience Range: 5 - 8 years

Job Description : Senior Engineer, Software - Data Ingest Engineering

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 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 Engineer, Software, you will be a hands-on builder and technical lead at the

center of that mission — designing and delivering the batch and streaming framework for

data pipelines, stores, and APIs that make T-Mobile’s data consumable at any speed, for

any consumer. 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:

- Design and implement high-throughput, event-driven architectures to power near

real-time data pipelines for ingesting into Azure + Databricks Lakehouse





- Build cloud-native data pipelines to support batch ingest workloads
- Configure Unity Catalog by designing Bronze/Silver/Gold medallion architecture and

optimize for centralized data governance, fine-grained access control, and end-to-end

lineage tracking across Databricks workspaces

- Drive engineering excellence by setting standardized DevOps practices and optimizing

data engineering code for performance

- Identify and design solutions to potential data processes that can be improved with

automation

- Partner with domain teams to onboard recent capability use cases, mentor engineers,

and contribute to reusable blueprints and reference implementations.

What You’ll Bring:

- 7+ years of software engineering experience focused on data infrastructure and

backend systems.

- 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

- Production experience with Azure Databricks and Delta Lake
- Production experience with PySpark for distributed data processing and

transformation.

- Streaming frameworks (Kafka or comparable) for real-time data paths including CDC

and incremental batch patterns.

- 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
- Strong SQL and Python Proficiency
- Experience with Cloud Native Tools

Nice-to-Have:

- Building data infrastructure for AI use cases
- Prior experience in large-enterprise data integration or platform engineering

environments

- Prior experience in enterprise platform migrations

📌 Senior Software Engineer - Data Ingest Engineering(Kafka) (Hyderabad)
🏢 Recruise
📍 Hyderabad