Lead AI & Data Architect - GCP Lakehouse (Remote)

GFT TECHNOLOGIES SE; Łódź; Remote; PLN 282,000 - 379,000; Full time

Job summary

GFT Poland is seeking a Lead AI & Data Architect to define and shape the target data architecture for a large-scale cloud transformation in the financial services domain.

The role focuses on 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.

Qualifications

• Experience designing enterprise-scale data architectures for cloud transformations.
• Strong knowledge of Bronze/Silver/Gold data lakehouse patterns.
• Hands-on data modelling: conceptual, logical and physical.
• Expertise with data governance and metadata standards.

Responsibilities

• 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 stakeholders to identify data elements and enrichments.
• Support analysis-ready datasets and reusable data products.
• Provide architectural guidance for BigQuery-based solutions and cloud-native data platforms.
• Ensure alignment with security, IAM and regulatory requirements.

Skills

Enterprise data architecture

GCP architecture

BigQuery

Data governance

Data modelling (conceptual/logical/phy

Stakeholder management

Cloud data platforms

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Terraform

Kubernetes (GKE)

CI/CD tooling

Job description

GFT Poland is seeking a Lead AI & Data Architect to define and shape the target data architecture for a large-scale cloud transformation in the financial services domain.

The role focuses on 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.