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Itransition ищет архитектора данных для проектирования и руководства целевой архитектурой Databricks‑based дата‑платформы в финансовом секторе. Вы будете формировать архитектурные принципы, интеграционные цепочки и модели данных для Wealth Management.
Кандидат обладает опытом в Data Vault 2.0, Unity Catalog, RBAC/ABAC, PII-защите и знанием облачных платформ (AWS/Azure/GCP). Упор на соответствие требованиям регуляторики и аудита.
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.
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). Будет плюсом: 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