Lead AI & Data Architect
Summary
Lead AI & Data Architect at GFT Technologies in Łódź, Poland: shapes the target enterprise data architecture for a financial-services cloud transformation, designing GCP/BigQuery lakehouse platforms, data governance, integration patterns, and surveillance analytics. B2B contract paying 205–275 PLN/hour.
Type of contract: B2B contract
Salary range: 205 - 275 PLN/H
What will you do?
You will be responsible for defining and shaping the target data architecture for a large-scale cloud transformation initiative within the financial services domain. The role focuses on designing enterprise-grade data platforms on Google Cloud, establishing data governance and quality standards, creating scalable data models and integration patterns, and enabling business-critical analytics and surveillance capabilities through modern data architecture principles.
Your tasks
- Design enterprise-scale data architecture and target-state data platform solutions on GCP
- Define Bronze, Silver and Gold data lakehouse architecture patterns and standards
- Create conceptual, logical and physical data models for complex business domains
- Establish data governance frameworks, data quality controls and metadata standards
- Define integration architecture, data lineage and end-to-end data flows
- Collaborate with business and technology stakeholders to identify common data elements and enrichments
- Support the creation of analysis-ready datasets and reusable data products
- Provide architectural guidance for BigQuery-based solutions and cloud-native data platforms
- Assess cloud migration approaches and target-state architecture options
- Ensure alignment with security, IAM and regulatory requirements
- Contribute to architecture reviews, technical decision-making and best practices
Your skills
- Extensive experience in Enterprise Data Architecture
- Strong knowledge of Data Lakehouse architecture including Bronze, Silver and Gold patterns
- Hands-on experience with GCP architecture design
- Strong expertise in BigQuery
- Experience in conceptual, logical and physical data modelling
- Knowledge of data governance frameworks and data quality management
- Experience with integration architecture and data lineage practices
- Understanding of GCP security and IAM concepts
- Experience working within Financial Markets or Surveillance domains
- Strong stakeholder management and communication skills
Nice to have
- Experience with Market Abuse or Unauthorised Trading surveillance systems
- Knowledge of Vertex AI and machine learning platforms
- Experience with regulatory reporting or compliance initiatives
- Hands-on experience with Dataflow or Apache Beam
- Knowledge of Kubernetes (GKE)
- Experience with Terraform and CI/CD tooling
- Understanding of Java-based enterprise platforms