> Markdown version of [/jobs/ext/2023684-data-architect](https://www.wearedevelopers.com/jobs/ext/2023684-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** ProntoPro - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Code Review, Data Architecture, Data Governance, Data Infrastructure, Enterprise Data Management, Apache Spark, Data Strategy, Togaf, Data Lakes, Collibra, Databricks - **Published:** August 11, 2026 - **Apply:** https://es.trabajo.org/oferta-5001-da3c314f1cc5487e5b91c1c07cca7684 ## About the Role Data Architect Location: Remote from Spain (an indefinite Spanish employment contract) We are hiring a Data Architect to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on architect role. You will co-own the pattern library with the client's architecture team, write reference implementations, and unblock engineering decisions across the programme. Project Overview: Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. Requirements: - 10+ years of data platform architecture experience, with several years on Databricks in production. - Deep hands-on knowledge of Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines, Spark, Photon and Databricks Asset Bundles. - Strong data modelling: entity resolution, slowly changing dimensions, event and state modelling, semantic layer design. - Experience designing Azure-native EDP topologies (workspaces, clusters, network, identity, cost controls). - Experience implementing enterprise data catalogues (Collibra, Purview, Alation, AWS DataZone or similar) integrated with a technical catalogue. - Comfortable writing reference code, reviewing PRs and pairing with engineers. - Fluent working English. Nice to have: - Active Databricks certifications - Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers - CDMP DAMA or TOGAF certification. - Experience applying agentic engineering tooling to platform work, including MCP-connected Databricks or cloud servers. Responsibilities: - Own the Lakehouse architecture, Unity Catalog design and medallion standards that every domain team builds against. - Author and maintain Architecture Decision Records for the platform. - Design integration patterns for ingestion, processing and serving, and codify them as reusable reference implementations. - Review domain designs and contribute to code reviews. - Co-own the reference pattern library and evolve it wave over wave. - Design FinOps guardrails and observability across the platform. - Contribute to agent rules and skill definitions so architectural standards are enforced by generation rather than documentation. Why this position: - Own the architecture of a large-scale enterprise data platform migration from the ground up - reference patterns, Unity Catalog design and medallion standards that every domain team builds against. You'll work at the leading edge of the Databricks ecosystem on a high-stakes lakehouse build, applying agentic engineering tooling to enforce standards through generation rather than documentation, and shaping the platform's technical foundations alongside a parallel data governance workstream. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)