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.

Lead AI and Data Architect – Poland Remote

Lead AI and Data Architect shaping GCP lakehouse and BigQuery platforms for GFT Poland’s financial-services transformation work. Define governance, data models, integrations, and analytics-ready foundations for surveillance-focused use cases.

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 Bronze, Silver, and Gold lakehouse architecture patterns and standards
  • Develop conceptual, logical, and physical data models for complex business domains
  • Establish data governance, data quality controls, and metadata standards
  • Define integration architecture, data lineage, and end-to-end data flows
  • Work with business and technology stakeholders to identify shared data elements and enrichments
  • Support analysis-ready datasets and reusable data products
  • Guide BigQuery implementations and cloud-native data platform solutions
  • Evaluate cloud migration strategies and target-state architecture alternatives
  • Maintain alignment with security, IAM, and regulatory obligations
  • Participate in architecture reviews, technical decisions, and practice development

Requirements

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

Benefits

  • Competitive compensation and benefits
  • Ambitious projects, training, and the tools needed to grow
  • A development-focused investment in your professional progress
  • Opportunities for personal as well as professional development

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