GCP Data Architect

Poland and Middle-Eastern Europe
Poland
On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have experience designing data platforms on Google Cloud.

Best fit for

  • Candidates with hands-on experience in GCP data architecture and end-to-end data processing solutions
    — “designing and developing a modern data platform based on Google Cloud technologies”
  • Individuals who have led architecture workshops and made justified technical decisions
    — “strong communication skills with the ability to present, justify and defend architectural decisions”
  • Professionals with a background in data-flow design and integration of GCP services
    — “experience selecting and integrating GCP services such as Dataproc, Pub/Sub, Cloud Storage, BigQuery and Composer”

Things to consider

  • Work permit and location in the European Union are mandatory requirements
    — “Work from the European Union region and a work permit are required.”
  • The role involves collaboration with both technical and business stakeholders regularly
    — “facilitating architecture workshops with technical and business stakeholders”

How to stand out

  • Emphasize your ability to create architectural documentation and diagrams
    — “ability to create HLD, LLD, ADR documentation and architectural diagrams”
  • Showcase your track record in designing data ingestion and processing solutions
    — “experience designing end-to-end data ingestion and processing solutions”
  • Demonstrate your familiarity with Medallion and Hub & Spoke architecture patterns
    — “understanding of Medallion and Hub & Spoke architecture patterns”
  • Mention your experience with CI/CD and Terraform in infrastructure projects
    — “experience with GitHub Enterprise Cloud, CI/CD and Terraform”
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designed scalable data platforms
  • implemented disaster recovery mechanisms
Typical background
data architecture experiencecloud technologies

Skills & requirements

Required

Data ArchitectureCloud TechnologiesData ModelingIntegration DesignDisaster Recovery

Preferred

Enterprise-scale Cloud PlatformsHighly Regulated EnvironmentsCloud Governance

Stack & domain

Data ArchitectureData IngestionData ProcessingData ModelingData RetentionDisaster RecoveryCI/CDInfrastructure As CodeGithub Enterprise CloudTerraformArchitecture DocumentationLeadershipCommunicationProblem-solvingOrganizational AbilitiesCloudDataAI

About the role

Original posting from Poland and Middle-Eastern Europe via Greenhouse

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’r 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:

proven experience in designing data architectures on Google Cloud Platform,

 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 – Interview – Client Interview – Decision

Source: Poland and Middle-Eastern Europe careers (Greenhouse)

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