Deloitte
Senior Manager, Databricks Architect & Delivery Lead, Engineering, AI & Data, Technology & Transformation
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Do you want to shape the architecture behind some of the UK's largest and most ambitious Data & AI transformation programmes?
Technology & Transformation helps organisations unlock the full value of their data through modern platforms, cloud technologies, and AI. As a Databricks Architect & Delivery Lead, you'll define the technical vision and lead its successful delivery designing enterprise-scale architectures, shaping technology strategy, and ensuring data, machine learning, and AI solutions are secure, scalable, and built for the future.
Working alongside some of the industry's leading architects, engineers, and AI specialists, you'll help clients establish modern Data Intelligence platforms that become the foundation for advanced analytics, machine learning, and next-generation AI capabilities.
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Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs, and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
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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 and Delivery Lead with a proven track record of designing and delivering enterprise-scale Data & AI solutions. 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 and delivery governance, mobilise multi-disciplinary teams, 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.
- Lead the end-to-end delivery of Databricks Data & AI programmes, including mobilisation, delivery planning, resourcing, dependency management, financial oversight, commercial management, risk and issue management, and stakeholder reporting.
- 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.
- Lead and coordinate multi-disciplinary teams across architecture, data engineering, analytics, and AI, maintaining alignment between solution design, delivery priorities, quality expectations, and business outcomes.
- Lead and 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 and programme sponsors on technology strategy, roadmap development, delivery approach, 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, and ensuring commercially viable delivery approaches.
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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 architectural authority with strong delivery leadership, taking accountability for mobilising teams, managing delivery risks and dependencies, and ensuring that complex programmes achieve their intended outcomes. You have excellent consulting skills with strong technical credibility and enjoy working with clients to define & deliver enterprise transformation programs 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.
- Proven experience leading the end-to-end delivery of complex Data & AI programmes, including planning, mobilisation, resourcing, financial management, delivery governance, risk and dependency management.
- 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.
- Experience leading multi-disciplinary and distributed delivery teams, working across client, partner, and internal stakeholders to deliver agreed outcomes.
- Excellent communication, stakeholder management, and consulting skills, with the ability to influence both technical teams and executive leadership.
- Industry expertise within (preferably) Financial Services or working with clients in regulated or complex enterprise environments, with the ability to align technical architecture to industry-specific business challenges, governance needs, and regulatory requirements.
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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 owning the successful delivery of large-scale Data & AI programmes, including delivery planning, team leadership, governance, financial oversight, risk management, and senior stakeholder reporting.
- 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 accountable delivery leader: shaping the solution, mobilising and leading multi-disciplinary teams, managing delivery performance and architectural risk, and helping clients realise measurable business value from Data and AI investments.
For a full job description, please visit our online Deloitte Careers portal.
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