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.)
... engineering practices across multiple projects or teams. - Ability to make strategic technology decisions and evaluate the trade-offs between different platforms and architectural approaches. - Understanding of enterprise security, data protection, and compliance requirements. - Experience working with sensitive business data is ...
Principal AI Solutions Architect Miejsce pracy: Warszawa Technologies we use Expected - Generative AI - LLM - Python - TypeScript - https://jobeax.com/link/JSd7UYCSg572jJDY - Context Protocol - Agentic AI About the project We are looking for an experienced Enterprise AI Architect to lead the design and development of enterprise-grade ...
... engineering practices across multiple projects or teams., Ability to make strategic technology decisions and evaluate the trade-offs between different platforms and architectural approaches., Understanding of enterprise security, data protection, and compliance requirements., Experience working with sensitive business data is highly ...
... blueprints and (open source) tools Strong experience as a Data Technical Consultant and Data Solution Architect Expertise in Data Engineering, Data Warehousing, Data Science, Data Management, Data Governance, and Data Visualization Hands-on technology experience in the areas of Data Analytics Awareness of data technology trends ...
... to accelerate AI feature delivery across the company while ensuring every AI feature meets our security, cost, and quality standards. We are looking for a Principal AI Platform Engineer / Principal Software Engineer focusing on AI/ML, to be the founding technical leader of this team: you will partner directly with the ...
... business processes create and update data, Creating and maintaining logical and physical data models for the data warehouse solutions, working with the Platform Data Architect to ensure they fit with the data roadmap and principles, Creating and updating source to target data mappings, defining transformations and calculations, ...
... business processes create and update data, Creating and maintaining logical and physical data models for the data warehouse solutions, working with the Platform Data Architect to ensure they fit with the data roadmap and principles, Creating and updating source to target data mappings, defining transformations and calculations, ...
... high-impact code reviews Our requirements - Minimum of 7 years of professional experience in software engineering, with a proven track record in a Tech Lead, Principal Engineer, or Solutions Architect role - Practice with distributed systems design and cloud architecture (Kubernetes) - Hands-on expertise with Java and Spring ...
- 7+ years of experience in Data Engineering, including experience as a Tech Lead, Architect, Staff or Principal Data Engineer. - A proven track record of designing and building data platforms end-to-end. - Strong architectural skills and the ability to make, document and defend technical decisions. - Senior-level Python ...
... experience. - 12+ years of software engineering experience. - 5+ years leading architecture or platform engineering initiatives. - Deep expertise in cloud-native architecture and distributed systems. - Strong understanding of modern AI/ML technologies, LLMs, agent frameworks, RAG, vector databases, and MLOps. Technical Expertise ...