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 ### **Requirements** * 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) ### **Nice to have** * 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 ### **Responsibilities** * 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 ### **We offer** * 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 ### **Any questions?** Dina hh@itransition.com
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
