GFT Technologies
GFT Technologies
GFT Technologies is a technology and digital transformation company working across consulting, insurance, and cybersecurity. Its Cookiebot platform helps organizations collect and manage user consent while supporting compliance with privacy regulations including the GDPR and CCPA. The company’s solutions are designed to integrate with existing digital environments and are used by more than 600,000 customers worldwide to handle personal data with greater transparency and control.

Principal Data Architect – GFT Technologies | Poland Remote

Lead GCP lakehouse architecture for GFT Technologies’ financial-services transformation in Poland. Shape data governance, modeling, integration, and BigQuery platform strategy.

Description

  • Shape the target data architecture for a large-scale financial-services cloud transformation.
  • Design enterprise data architectures and target-state platforms on Google Cloud Platform.
  • Set standards for Bronze, Silver, and Gold lakehouse architecture patterns.
  • Develop conceptual, logical, and physical data models for complex business domains.
  • Build data governance frameworks covering quality controls and metadata standards.
  • Define integration architectures, lineage practices, and end-to-end data flows.
  • Work with business and technology stakeholders to identify shared data elements and enrichments.
  • Help deliver analysis-ready datasets and reusable data products.
  • Guide BigQuery solutions and cloud-native data platform architecture.
  • Evaluate cloud migration strategies and target-state architecture alternatives.
  • Maintain alignment with security, IAM, and regulatory obligations.
  • Participate in architecture reviews, technical decisions, and the development of best practices.

Requirements

  • Deep experience in enterprise data architecture.
  • Strong command of data lakehouse design, including Bronze, Silver, and Gold patterns.
  • Practical experience designing GCP architectures.
  • Advanced expertise with BigQuery.
  • Experience creating conceptual, logical, and physical data models.
  • Knowledge of data governance frameworks and data quality management.
  • Experience with integration architecture and data lineage practices.
  • Understanding of GCP security and IAM principles.
  • Experience in financial markets or surveillance domains.
  • Strong stakeholder management and communication abilities.
  • Experience with market abuse or unauthorized trading surveillance systems is desirable.
  • Knowledge of Vertex AI and machine learning platforms is desirable.
  • Experience with regulatory reporting or compliance initiatives is desirable.
  • Practical experience with Dataflow or Apache Beam is desirable.
  • Knowledge of Kubernetes, including GKE, is desirable.
  • Experience with Terraform and CI/CD tooling is desirable.
  • Understanding of Java-based enterprise platforms is desirable.

Benefits

  • Company car.
  • Unlimited paid time off.
  • Benefits tailored to individual needs, including medical care, sports support, lunch subsidies, and life insurance.
  • Online training and certification opportunities.
  • Access to an e-learning platform.
  • Work from anywhere for up to 140 days per year abroad.
  • Social events.
  • Competitive salary and benefits.
  • Ambitious projects, training, and the tools needed to thrive.

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