T-Mobile

Data Platform Solution Architect - Automation & Innovation Department

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SeniorHybryda·WarszawaFull-time·B2B

#476113·Dodano 8 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

GCP Python SQL Terraform

Podsumowanie oferty

Design and implement data use cases on a GCP data platform, translating business requirements into scalable solutions. The role combines solution architecture, technical leadership, and hands-on data engineering, including end-to-end pipelines and infrastructure automation.

Wymagania

Senior-level experience in data engineering, data platform engineering, or cloud solution architecture.
Proven hands-on experience designing and implementing production data solutions on Google Cloud Platform.
Strong practical knowledge of BigQuery, Cloud Storage, Cloud Run, Cloud SQL, and Cloud Composer or Apache Airflow.
Experience with data processing technologies such as Dataflow, Apache Beam, Dataproc, or Apache Spark.
Strong programming skills in Python and SQL.
Hands-on experience with Terraform and Infrastructure as Code.
Experience building and maintaining CI/CD pipelines for data and infrastructure deployments.
Strong understanding of batch and event-driven data ingestion patterns.
Experience designing data models, transformation pipelines, and orchestration workflows.
Understanding of GCP security, IAM, service accounts, networking, and secrets management.
Experience with monitoring, logging, alerting, and troubleshooting production data pipelines.
Ability to translate business requirements into technical architecture and working implementations.
Ability to assess technical trade-offs related to scalability, performance, maintainability, and cost.
Strong communication skills and the ability to work with both technical and business stakeholders.

Nice to have:

Experience with data governance, metadata management, lineage, or data quality solutions.
Knowledge of containerisation and Kubernetes, particularly Docker and GKE.
Experience creating reusable Terraform modules and platform engineering standards.
Understanding of DataOps, FinOps, and cloud observability practices.
GCP Professional Data Engineer, Professional Cloud Architect, or Terraform certification.

Obowiązki

Translate business use cases into scalable technical solutions on GCP.
Design and implement end-to-end data pipelines covering ingestion, storage, transformation, and consumption.
Select appropriate GCP services, integration patterns, and data processing approaches for each use case.
Build and configure the infrastructure required to deploy use cases on the data platform.
Develop reusable components and patterns instead of isolated, use case-specific solutions.
Implement Infrastructure as Code and automated deployment pipelines.
Ensure solutions meet security, data governance, reliability, performance, and cost requirements.
Troubleshoot complex technical issues across infrastructure and data pipelines.
Provide technical direction and support other engineers in architecture and implementation decisions.
Identify recurring use case requirements and translate them into reusable platform capabilities.
Proactively contribute to the technical roadmap and evolution of the data platform.

Inne informacje

Recruitment process is online.

T-Mobile

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