Quantios is a leading provider of software solutions for the trust administration and corporate services industry. With over 30 years of experience, we empower our clients with innovative technology that enhances governance, operations, and investment on a global scale. At Quantios, we are committed to fostering a diverse and inclusive workplace where creativity, learning, and collaboration drive success. As a Data Architect at Quantios, you will own the architecture of Quantios Insights, our multi-tenant analytics platform. Built on Azure Databricks and Unity Catalog, Insights unifies data from all Quantios products and powers analytics, regulatory insights, MCP-based data access, and AI-driven capabilities for regulated financial services customers. You will define the architectural standards, models, integration patterns, and governance frameworks that keep the platform reliable, scalable, secure, and demonstrably isolated between customers. This is a hands-on role: you will set the standard through working code and documented patterns, using SQL, Python, and dbt in your daily work. This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into RAG pipelines, LLM evaluation frameworks, and strategic AI initiatives across the business. You will collaborate closely with Data Engineers, LLMOps Engineers, Product Owners, Portfolio Architects, and engineering teams to shape Quantios’ data and AI ecosystem. Job Responsibilities: Enterprise Data Architecture or equivalent experience. 7+ years in data engineering, data architecture, or platform architecture, with at least 3 years hands-on on Azure Databricks in production. Demonstrable production experience with Unity Catalog, including catalogs and schemas as isolation boundaries, grants, row filters, column masks, service principals, lineage, and system tables. Experience designing or operating a multi-tenant data platform is strongly preferred. Hands-on experience implementing fine-grained access control (ABAC or equivalent) on Databricks or a comparable platform. Strong working experience with dbt (ideally dbt-databricks), including incremental models, testing, and multi-environment deployment. Experience with Terraform (including the Databricks provider) and Databricks Asset Bundles, or equivalent infrastructure-as-code and workload deployment tooling, within CI/CD pipelines (Azure DevOps preferred). Strong SQL and Python, used routinely in your current work Deep experience with medallion architecture, dimensional modelling, and semantic layer design. Experience designing platforms for regulated environments, with working knowledge of data residency, encryption, private networking, and audit requirements. Strong communication skills, with the ability to explain architectural trade-offs to engineers, product owners, and customer security teams. #J-18808-Ljbffr
Data Architect (UK) in Hampshire
