GCP Data Platform Architect - AI & Hybrid Cloud

Magentateam; Warszawa; On-site; PLN 300,000 - 420,000; Full time

Benefits offered by this job

Sports packages

Medical care

Life insurance

Job summary

Magentateam is seeking a Data Platform Architect to lead architectural standards for hybrid cloud and on‑premise data platforms. You will drive scalability, reliability and governance while guiding migrations and modernization across teams.

The role focuses on Spark analytics, GCP services, and data platform initiatives, with strong emphasis on documentation, stakeholder management and cloud-native strategies.

Qualifications

• 5+ years experience in data platform architecture or engineering.
• Deep knowledge of GCP (BigQuery, Dataflow, Dataproc Pub/Sub), Spark, Kubernetes, DWH, Big Data.
• Proven leadership in hybrid cloud/on-premise integration projects.
• Strong skills in technical documentation, system design and stakeholder management.
• Experience with cloud-native migrations and hybrid architectures.
• Familiarity with data governance and advanced analytics frameworks.

Responsibilities

• Lead the design and integration of Spark‑based analytics, Kubernetes‑orchestrated workloads and GCP services.
• Document and communicate data architecture, integration patterns and workflows for technical audiences.
• Collaborate with engineering and business teams on data analytics platform initiatives.
• Guide teams through migration, modernization and optimization projects.
• Support teams in troubleshooting, performance tuning and strategic planning.

Skills

GCP

Spark

Kubernetes

Hybrid cloud

Big Data

DWH

Data governance

Documentation

Stakeholder management

Cloud migrations

Tools

GCP

BigQuery

Dataflow

Dataproc

Pub/Sub

Kubernetes

Job description

Magentateam is seeking a Data Platform Architect to lead architectural standards for hybrid cloud and on‑premise data platforms. You will drive scalability, reliability and governance while guiding migrations and modernization across teams.

The role focuses on Spark analytics, GCP services, and data platform initiatives, with strong emphasis on documentation, stakeholder management and cloud-native strategies.