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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Architect - **Company:** Deloitte - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Software Design Patterns, Machine Learning, Meta-Data Management, Performance Tuning, Azure Machine Learning, Search Technologies, Software Deployment, Enterprise Data Management, Feature Engineering, Retrieval-Augmented Generation, Apache Spark, Generative AI, Data Layers, Data Lakes, AI Platforms, Data Management, Machine Learning Operations, Cloud Migration, Virtual Agents, Databricks - **Published:** September 10, 2026 - **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=25088 ## About the Role Overall, you're a strategic technology leader with deep architectural expertise and a passion for solving complex business challenges through modern Data & AI technologies. You combine excellent consulting skills with strong technical credibility and enjoy working with clients to define enterprise architecture strategies that deliver long-term business value. You'll have strong technical skills including some or all of the following: * Extensive experience designing enterprise-scale Data and AI architectures on the Databricks Data Intelligence Platform, including migration from legacy data platforms, lakehouse modernisation, performance optimisation, governance, and production-grade delivery. * Deep expertise across Databricks including Delta Lake, Unity Catalog, Spark, Lakehouse architecture, Databricks SQL, Workflows, Delta Live Tables, MLflow, Mosaic AI, Agent Bricks, Vector Search, and broader Data & AI Intelligence capabilities. * Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms. * Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. * Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval-Augmented Generation (RAG), and enterprise AI deployment patterns. * Strong understanding of enterprise data governance, security, metadata management, and regulatory compliance. * Experience leading discovery engagements, architecture assessments, and technology strategy workshops with executive stakeholders. * Proven experience providing architecture governance, design authority, and technical leadership across complex transformation programmes. * Strong knowledge of cloud platforms including Azure, AWS, or GCP and their associated data and AI services. * Excellent communication, stakeholder management, and consulting skills, with the ability to influence both technical teams and executive leadership. * Industry expertise within (preferably) Financial Services, Consumer industries or working with clients in regulated or complex enterprise environment, with the ability to align technical architecture to industry-specific business challenges, governance needs and regulatory requirements. Required * Proven experience leading enterprise architecture for large-scale Data & AI transformation programmes. * Extensive hands-on experience designing production-grade solutions on the Databricks Data Intelligence Platform, including data engineering, AI solutions, governance, security, orchestration, performance, and cost optimisation. * Strong experience defining enterprise solution architecture, data architecture, and machine learning architecture. * Experience designing enterprise Generative & Agentic AI architectures, including LLMOps, Retrieval-Augmented Generation, model governance, responsible AI controls, monitoring, and operational deployment patterns. * Demonstrable experience leading client discovery, architecture assessments, and solution strategy engagements. * Experience acting as Architecture Lead or Design Authority across multiple concurrent programmes. * Strong understanding of enterprise governance, security, and cloud architecture principles. * Excellent stakeholder engagement and executive communication skills. This role requires someone who can operate as a trusted client architect, Databricks platform specialist, and senior delivery leader: shaping the solution, guiding teams through implementation, managing architectural risk, and helping clients realise measurable business value from Data and AI investments. Preferred * Databricks Certified Data Engineer Professional, Databricks Machine Learning Professional, Databricks Generative AI Engineer Associate, Databricks Solutions Architect accreditation, or equivalent advanced Databricks certifications. * Experience defining enterprise operating models for Data & AI platforms. * Expertise in enterprise data modelling and semantic layer design. * Experience with cloud-native architecture frameworks and Infrastructure as Code. * Experience leading multi-disciplinary delivery teams across architecture, engineering, and AI disciplines. * Experience supporting large-scale transformation programmes from strategy through implementation and adoption. * Experience working within Financial Services, or Consumer industries. ## Description We're expanding our AI & Data practice and are looking for experienced Databricks architects who combine deep technical expertise with strategic thinking and delivery leadership. You'll work alongside exceptional data, AI, cloud, and engineering specialists to define enterprise architectures that enable organisations to modernise their data estates and accelerate AI adoption. We are seeking an experienced Databricks Architect at Senior Manager level with a proven track record of designing and leading enterprise-scale Data & AI architectures. The ideal candidate will possess deep expertise across modern data platforms, machine learning, and Generative & Agentic AI, while providing architectural leadership across complex transformation programmes. You will shape solution strategy, establish architectural governance, and ensure successful delivery of scalable, secure, and future-proof solutions aligned to client business objectives. As a key member of our team, you will: * Lead the architecture and technical strategy for large-scale Databricks Data & AI transformation programmes. * Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. * Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. * Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management, orchestration, deployment patterns, monitoring, observability, governance, and cost-aware scaling of AI solutions. * Lead client discovery engagements, facilitating architecture workshops to understand business objectives, technology landscapes, and transformation opportunities. * Provide architectural governance and design authority across multiple programmes, ensuring solutions align with enterprise architecture principles, security standards, and engineering best practices. * Collaborate closely with engineering teams to translate architecture into high-quality technical delivery, including backlog shaping, technical design assurance, non-functional requirements, performance optimisation, maintainability, and cost management. * Define reusable architecture patterns, reference architectures, accelerators, and best practices across the Databricks ecosystem. * Advise senior client stakeholders on technology strategy, roadmap development, cloud adoption, and Data & AI operating models. * Support business development activities by shaping solution proposals, owning solution estimates, supporting sales pursuits, responding to client opportunities, and providing technical leadership throughout the sales lifecycle. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)