GCP Data Architect

Xebia Group; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Xebia Group is seeking a skilled Data Platform Architect to shape and build a modern data platform on Google Cloud. You will define data architectures, model data flows, and guide key technology decisions with stakeholders.

Responsibilities include end-to-end data processing design, GCP service selection, and enabling CI/CD and IaC practices. EU-region work eligibility is required; collaboration with business and tech teams is essential.

Qualifications

• Experience designing end-to-end data ingestion and processing solutions.
• Knowledge of BigQuery and either DBT or Dataproc.
• Experience with data modelling and data-flow design.
• Understanding of Medallion and Hub & Spoke architecture patterns.
• Experience selecting and integrating GCP services such as Dataproc, Pub/Sub, Cloud Storage, BigQuery and Composer.
• Experience designing synchronous and asynchronous integrations and event-driven architectures.
• Knowledge of data-retention, purging and Disaster Recovery concepts.
• Experience with GitHub Enterprise Cloud, CI/CD and Terraform.
• Ability to create HLD, LLD, ADR documentation and architectural diagrams.
• Strong communication skills with the ability to present, justify and defend architectural decisions.
• Experience conducting workshops and collaborating with business and technical stakeholders.

Responsibilities

• Designing and developing a modern data platform based on Google Cloud technologies.
• Designing data and application architectures, modelling data flows, creating architectural documentation.
• Defining end-to-end data processing solutions, selecting appropriate GCP services.
• Designing integrations and enabling CI/CD and Infrastructure as Code practices.
• Facilitating architecture workshops with technical and business stakeholders.
• Supporting Disaster Recovery and data-retention mechanisms.

Skills

Data ingestion

Data processing

BigQuery

DBT

Dataproc

Data modelling

Architectural patterns

GCP

Terraform

CI/CD

ADR docs

GitHub Enterprise

Architecture diagrams

Tools

GitHub Enterprise Cloud

Terraform

Dataproc

BigQuery

Job description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

You will be:

• designing and developing a modern data platform based on Google Cloud technologies,
• designing data and application architectures, modelling data flows, creating architectural documentation, and supporting key technology decisions across the platform,
• defining end-to-end data processing solutions, selecting appropriate GCP services,
• designing integrations,
• supporting Disaster Recovery and data-retention mechanisms,
• enabling CI/CD and Infrastructure as Code practices,
• facilitating architecture workshops with technical and business stakeholders.

Your profile:

• experience designing end-to-end data ingestion and processing solutions,
• knowledge of BigQuery and either DBT or Dataproc,
• experience with data modelling and data-flow design,
• understanding of Medallion and Hub & Spoke architecture patterns,
• experience selecting and integrating GCP services such as Dataproc, Pub/Sub, Cloud Storage, BigQuery and Composer,
• experience designing synchronous and asynchronous integrations and event-driven architectures,
• knowledge of data-retention, purging and Disaster Recovery concepts,
• experience with GitHub Enterprise Cloud, CI/CD and Terraform,
• ability to create HLD, LLD, ADR documentation and architectural diagrams,
• strong communication skills with the ability to present, justify and defend architectural decisions,
• experience conducting workshops and collaborating with business and technical stakeholders.

Nice to have:

• experience with enterprise-scale cloud data platforms,
• experience working in highly regulated environments,
• familiarity with cloud governance, security and operational best practices.

Work from the European Union region and a work permit are required.

Recruitment Process:

CV review – HR call – Technical Interview – Client Interview – Decision