
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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