Azure Databricks Architect

Capgemini
London, UK
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Unity 3d Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Data Architecture Data Governance Data Infrastructure Data Integration RStudio Cloud Services Migration Manager
+9 more
Azure Machine Learning SQL Databases Large Language Models Data Lakes Data Analytics Machine Learning Operations Cloud Migration Serverless Computing Databricks

Job description

We work closely with clients and partners to take full advantage of the opportunities of technology. We mobilize expert teams that create custom solutions from existing and emerging technology to deliver viable outcomes at speed. We call this ‘Value in the making.’ Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti is currently looking for a Azure Databricks Architect to join our ACT Practice, ensuring alignment with business goals and driving impactful value creation for our clients.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

Mandatory Skills

Enterprise Architecture

  • Proven experience architecting enterprise-scale Azure Databricks platforms
  • Platform strategy, roadmap development, and technology governance
  • Design of scalable, secure, and cost-optimised cloud data platforms

Databricks & Azure Expertise

  • Deep understanding of Databricks Serverless, SQL Warehouses, Delta Lake, Unity Catalog, and platform governance
  • Azure networking, identity, security, and private connectivity architecture
  • Enterprise-scale performance and workload optimisation

FinOps Leadership

  • Design and implementation of FinOps operating models
  • Cost attribution frameworks
  • Budget governance, chargeback/showback models
  • Enterprise tagging strategies and policy enforcement

Security & Governance

  • Data governance and platform security architecture
  • Secure integration patterns
  • Regulatory and compliance alignment
  • Operational guardrails, standards, and controls

Platform Transformation

  • Discovery Zone architecture and onboarding frameworks
  • Migration strategy from POSIT/RStudio and other analytical platforms
  • Technology rationalisation and reduction of platform sprawl, You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Requirements

Leadership & Stakeholder Management

  • Leading architecture decisions across multiple delivery teams
  • Engagement with business stakeholders, security teams, and enterprise architects
  • Technical leadership and mentoring
  • Data & Analytics Architecture

End-to-end data platform design

  • Lakehouse architecture patterns
  • Data integration frameworks
  • BI, Analytics, AI/ML, and consumption-layer architecture
  • Migration & Transformation

Enterprise platform modernisation programmes

  • Cloud transformation initiatives
  • Adoption frameworks and governance models
  • Documentation & Standards

Architecture blueprints

  • Design authorities and technical standards
  • Reference architectures and implementation patterns

Desirable Skills

  • Large-scale Azure and Databricks transformation programmes
  • POSIT/RStudio consolidation programmes
  • AI/ML platform architecture
  • LLM, Model Serving, Vector Retrieval, and RAG architecture
  • Regulated industry experience (Financial Services, Insurance, Public Sector, Utilities)

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who

About the company

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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