Principal Data Architect

GFT Technologies SE; Poznań; On-site; PLN 273,000 - 419,000; Full time

Benefits offered by this job

Company car

Unlimited paid time off

Benefit package tailored to your needs

Online training and certifications

Access to e-learning platform

Work From Anywhere (up to 140 days)

Social events

Job summary

GFT Technologies SE in Poznań seeks an experienced Enterprise Data Architect to shape target data architecture for a large cloud transformation in financial services. You will design enterprise data platforms on Google Cloud, establish governance and data quality standards, and enable analytics and surveillance with scalable data models.

The role requires hands-on BigQuery expertise, data modelling skills, and strong stakeholder collaboration to deliver reusable data products while aligning with

Qualifications

• Extensive experience in Enterprise Data Architecture.
• Knowledge of Data Lakehouse with Bronze/Silver/Gold patterns.
• Hands-on GCP design and BigQuery expertise.
• Data modelling across conceptual, logical and physical layers.
• Data governance and data quality management knowledge.
• Experience with data integration, lineage, and security/IAM.

Responsibilities

• Define target-state data architecture for a cloud transformation in financial services.
• Design enterprise data platforms on Google Cloud and BigQuery-based solutions.
• Establish data governance, quality controls and metadata standards.
• Create data models and integration patterns for analytics and surveillance.
• Collaborate with stakeholders to identify data elements and enrichments.
• Support analysis-ready datasets and reusable data products.
• Provide architectural guidance and participate in reviews and best practices.
• Assess migration options and ensure security and regulatory alignment.

Skills

Enterprise Data Architecture

Data Lakehouse

GCP architecture

BigQuery

Data modelling

Data governance

Data lineage

IAM security

Stakeholder management

Communication

Tools

Terraform

CI/CD

Dataflow/Apache Beam

Kubernetes (GKE)

Vertex AI

Job description

Type of contract: Employment contract

Salary range: 24500 - 37500 PLN gross

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

We offer

• Working in a highly experienced and dedicated team
• Company car
• Unlimited paid time off
• Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
• Online training and certifications
• Access to e-learning platform
• Work From Anywhere (up to 140 days/year abroad)
• Social events