Principal Data Architect

Opis oferty

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.

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

Wymagania

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

Zakres obowiązków

• 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