Deloitte
Senior Manager, Databricks Architect, Engineering, AI & Data, Technology & Transformation
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Job Description
Connect to your Industry
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, you'll define the technical vision that enables these transformations by designing enterprise-scale architectures, shaping technology strategy, and ensuring data, machine learning, and Generative 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.
Connect to your career at Deloitte
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.
Connect to your opportunity
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.
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Connect to your skills and professional experience
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.
Essential
- 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.
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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.
Connect to your business - Technology and Transformation
Distinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters.
Engineering, AI and Data
We lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees.
Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request.
Connect with your colleagues
“The great culture, flexibility, and range of experiences that Deloitte offers is what sets this firm apart. In Technology & Transformation, Deloitte is far ahead of any of our immediate competitors.” - Sophia, Technology & Transformation
“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.” - Dan, Technology & Transformation
Our hybrid working policy
You’ll be based London with hybrid working.
At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.
Our commitment to you
Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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