Databricks Data Architect (Wealth Management Data Platform)

Our client is designing and delivering a modern enterprise data platform for the Wealth Management domain. The platform will consolidate data from multiple CRM, portfolio management, trading, reporting, risk, and compliance systems into a governed, trusted, and scalable source of truth. The platform will support analytical, operational , regulatory, and client-facing use cases. This is a architecture role with a primary focus on platform architecture, integration design, Data Vault architecture, governance, and delivery guidance. The person will define the target-state architecture, integration patterns, data modeling approach, and implementation standards, working closely with engineering teams responsible for delivery. A key focus will be the architecture and design of a Data Vault-based platform on Databricks, enabling scalable ingestion, historization, auditability, lineage, and downstream consumption. office remoteEuropean UnionPoland, * Own the target-state architecture for a Databricks-based data platform

• Define platform architecture, integration patterns, data flows, architectural principles, and delivery guardrails for the engineering teams
• Design scalable data ingestion, transformation, orchestration, and publication patterns using Databricks, Spark, SQL, Delta Lake, Unity Catalog, and Lakeflow where appropriate
• Lead the Data Vault architecture, including raw vault, business vault, hubs, links, satellites, historization patterns, PIT tables, bridge tables, and downstream consumption layers
• Define canonical data models for core Wealth Management entities such as clients, households, advisors, accounts, portfolios, holdings, transactions, products, instruments, mandates, risk profiles, fees, suitability, and regulatory classifications
• Design integration patterns across heterogeneous source systems, including CRM, portfolio management platforms, trading systems, custodians, market data providers, risk systems, reporting platforms, and compliance tools

• Strong experience designing Databricks Lakehouse architectures, including Spark, SQL, Delta Lake, Unity Catalog, and workflow orchestration concepts
• Proven experience architecting enterprise data platforms, preferably in financial services or Wealth Management environments
• Strong practical understanding of Data Vault 2.0 architecture
• Experience defining integration architecture for enterprise data landscapes with multiple source systems and consumption channels
• Experience designing governance and security models (Unity Catalog, RBAC/ABAC, row/column-level security, PII protection, and compliance), * Experience in Wealth Management, Private Banking, Asset Management, Investment Management, Capital Markets, or broader financial services
• Experience with Databricks Lakeflow Connect, Lakeflow Spark Declarative Pipelines, and Lakeflow Jobs
• Experience designing platforms that support regulatory, audit, compliance, risk, and financial reporting requirements
• Experience with MDM concepts
• Experience with cloud infrastructure on AWS, Azure, or GCP
• Experience with AI/RAG, semantic search, Vector Search, embeddings, metadata filtering, source-grounded generation, or LLM-based data enrichment is a plus, but not a core requirement
• dbt experience

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely
• Corporate medical insurance covering services of private and public medical centers
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate