Data Platform Solution Architect (GCP)

T-Mobile

Warsaw, MA, Poland • 42m ago • On-site

Senior

On-site

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Quick Facts

  • Role: Hands-on Data Platform Solution Architect (GCP)

Description

You will design and implement scalable data use cases on a GCP data platform, translating business requirements into end-to-end architectures. The role combines solution architecture, technical leadership, and hands-on data engineering, including building reusable platform components. You’ll ensure security, governance, reliability, performance, and cost while troubleshooting production pipeline issues.

Responsibilities

  • Translate business use cases into scalable technical solutions on GCP
  • Design and implement end-to-end data pipelines (ingestion, storage, transformation, consumption)
  • Select appropriate GCP services, integration patterns, and processing approaches
  • Build and configure infrastructure to deploy use cases on the data platform
  • Develop reusable components and patterns across use cases
  • Implement Infrastructure as Code and automated deployment pipelines
  • Ensure solutions meet security, data governance, reliability, performance, and cost requirements
  • Troubleshoot complex issues across infrastructure and data pipelines
  • Provide technical direction and support other engineers in architectural decisions
  • Identify recurring requirements and convert them into reusable platform capabilities
  • Contribute to the technical roadmap and evolution of the data platform

Requirements

  • Senior-level experience in data engineering, data platform engineering, or cloud solution architecture
  • Proven hands-on production experience building data solutions on GCP
  • Practical knowledge of BigQuery, Cloud Storage, Cloud Run or Cloud SQL, and Cloud Composer or Apache Airflow
  • Experience with Dataflow/Apache Beam/Dataproc/Apache Spark
  • Strong Python and SQL skills
  • Hands-on Terraform and Infrastructure as Code experience
  • Experience with CI/CD for data and infrastructure deployments
  • Strong knowledge of batch and event-driven ingestion patterns
  • Experience designing data models, transformation pipelines, and orchestration workflows
  • Understanding of GCP security: IAM, service accounts, networking, secrets management
  • Experience with monitoring, logging, alerting, and troubleshooting production pipelines
  • Ability to map business requirements to technical architecture and implementations
  • Ability to evaluate scalability, performance, maintainability, and cost trade-offs
  • Strong communication skills with technical and business stakeholders

Benefits

  • Direct B2B contract
  • Hybrid cooperation model (to be decided)

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