Website:
talent500.com
Job details:
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.
TMUS Global Solutions:
TMUS Global Solutions is 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.
ABOUT THE ROLE:
- Own the Architecture of Customer Truth
- The Data Architect, CDP owns the end-to-end architecture of T-Mobile's Customer Data Platform — the system of record for 100M+ customer profiles, now moving to Google Cloud to deliver real-time customer context, near-real-time signals, and sub-50ms API access. Any agent, store associate, or digital channel should see a customer's prior conversation and continue from there.
- You will architect how clickstream, care, store, and network data flows into Cloud Spanner (low-latency store), BigQuery (analytics), and a knowledge graph exposed via GraphQL and MCP servers — while leading coexistence with the Azure estate (Databricks, Snowflake, Data Factory, Event Hubs, Cosmos DB) to reuse proven ETL.
RESPONSIBILITIES:
What You'll Do:
Platform Architecture & Real-Time Customer Context:
- Own the end-to-end CDP architecture across Spanner, BigQuery, Pub/Sub, Dataflow, and the Azure lakehouse; define what lives in Spanner (current state), BigQuery (history), and the lakehouse
- Design the unified customer profile and interaction-context model and own Spanner as the low-latency system of record (keys, hotspots, multi-region, change streams, DR) at sub-50ms reads
Streaming, Clickstream & Pipeline Architecture:
- Design NRT ingestion with Pub/Sub and Dataflow (Beam) into Spanner and BigQuery, with data contracts, schema evolution, exactly-once semantics, and replay patterns
- Codify reusable CDC, SCD Type 2, and late-arriving-data patterns; partner with NBA and T-Engage to cut signal latency to sub-five minutes
Hybrid-Cloud Migration:
- Architect Azure-to-GCP data movement with STS and BigQuery–Spanner sync to reuse existing Databricks, Data Factory, and Snowflake ETL; lead the phased plan to migrate or retire Cosmos DB, Redis, Event Hubs, and Functions with dual-run and rollback criteria
Knowledge Graph, GraphQL & MCP:
- Architect the customer knowledge graph on Spanner (ontology, identity resolution, Customer 360), the sub-50ms GraphQL API, and secure MCP servers on Cloud Run for AI agent access to CDP data
Governance, Operations & Technical Leadership:
- Define data quality, lineage, and access standards (Dataplex, Unity Catalog, TISS-310), IAM/VPC-SC/CMEK controls, and standards for compute (Cloud Run, Dataproc, Dataflow, Composer), SLOs, FinOps, Terraform, and CI/CD
- Serve as architectural authority — lead design reviews, maintain the runbook and ADRs, mentor engineers, and partner with product, analytics, and AI/ML teams
QUALIFICATIONS:
What You'll Bring — Required Experience:
- Overall (8+ years): Bachelor's in Computer Science or related field (or equivalent); 8+ years in data engineering and architecture, 4+ as a data architect or principal engineer owning a large-scale production platform.
- Google Cloud data platform (3+ years): Production data platforms on GCP, including IAM, VPC Service Controls, and cost governance.
- Cloud Spanner (2+ years): Schema and primary key design, interleaving, indexes, hotspot avoidance, change streams, and multi-region capacity planning.
- BigQuery (3+ years): Partitioning and clustering, reservations and cost control, Spanner federation, and BigQuery-to-Spanner (reverse ETL) data movement.
- Streaming & NRT pipelines (3+ years): Pub/Sub, Dataflow (Beam), Kafka, Event Hubs, or Spark Structured Streaming with exactly-once semantics, watermarking, and clickstream ingestion at scale.
- APIs & low-latency serving (3+ years): Designing REST/gRPC services, including 2+ years with GraphQL (schema design, federation, caching) against p99 targets under 50ms.
- Graph & identity resolution (2+ years): Knowledge-graph or property-graph modeling (Spanner Graph, Neo4j, or Cosmos DB), ontology design, and entity/identity resolution for Customer 360.
- AI & MCP integration (1+ year): Building or securing MCP servers, LLM/agent tool integrations, or Vertex AI-based data access patterns.
- Databricks, Spark & Delta Lake (4+ years): Spark internals and tuning, Delta Lake, Delta Live Tables, Unity Catalog, and medallion architecture, to reuse and migrate existing ETL.
- Azure & Snowflake (3+ years): Data Factory, Event Hubs, Cosmos DB, Redis, Functions, and App Service, plus Snowflake architecture, to lead a hybrid-cloud migration.
- Data modeling & ETL (5+ years): Dimensional, Data Vault, and medallion models; idempotent ETL/ELT (CDC, SCD Type 2); expert SQL and advanced PySpark.
- Platform engineering (3+ years): Terraform/IaC, CI/CD, Cloud Run, Dataproc, and Composer or Airflow; SLOs, observability, and FinOps.
- Leadership (3+ years): Leading architecture decisions across engineering, analytics, and product teams, with strong communication to technical and executive audiences.
Click on Apply to know more.
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