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Azure Data Platform Architect

  • Hybrid
  • 6+ years

Salary

£80,000 - 95,000/ year

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Description

Agency:

Credera

Job Function:

Consulting

Job Subfunction:

Technology Consulting

Are you passionate about shaping the future of data and AI on modern cloud platforms? Does the idea of working for different public sector and regulated clients on complex, business-critical projects excite you? If yes, then read on!

We are looking for an experienced Data Platform Architect to play a pivotal role in shaping data and AI capabilities for our clients, with deep expertise in Microsoft Azure and cloud-native data, analytics and AI platforms across the data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions.

Responsibilities

  • Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery
  • Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs
  • Experience defining target architectures and roadmaps for modern data platforms spanning ingestion, storage, processing, governance, analytics and consumption
  • Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures
  • Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches
  • Experience implementing robust data management, identity, security and governance for public sector and regulated environments, applying responsible AI principles
  • Proven ability to lead multiple, complex areas of work to time, cost and quality with minimal direction, managing large teams as the key point of escalation
  • Ability to partner with and influence senior stakeholders, navigating the political landscape of client delivery to achieve programme objectives
  • A track record of understanding the whole risk landscape and standing up multi-functional teams of SMEs to resolve issues
  • Recognised as a subject matter expert driving innovation and market-leading practices across multiple clients and industries
  • Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps
  • Experience mentoring engineers and architects, building capability in junior team members and client counterparts
  • You will be required to hold active SC clearance for this role.
  • Desirable skills
  • Public sector or regulated industry experience (government, healthcare or similar)
  • Experience with modern Azure data warehouse and lakehouse ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Azure Data Factory and Azure Data Lake Storage Gen2
  • Experience with Azure data integration and real-time analytics services, such as Event Hubs and Stream Analytics
  • Experience with Microsoft Purview, Microsoft Entra ID, managed identities and private connectivity patterns for governed enterprise data platforms
  • Experience integrating Azure data platforms with machine learning and AI capabilities, such as Azure Machine Learning and Microsoft Foundry
  • Familiarity with SQL and Python or Java
  • Experience with MLOps and Infrastructure as Code (Terraform or Bicep) for data, analytics and AI services
  • Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery
  • Microsoft Azure architecture certification, with a data or AI specialism beneficial
  • Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent)
  • Experience using AI or Agentic techniques in application of the role through GitHub Copilot, Claude Code, or equivalent.

Requirements

  • You will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients.

Benefits

  • Along with a great company culture, Credera provides an exceptional compensation package (£82,000-95,000) including a competitive salary and a comprehensive benefit plan.
  • Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis.
  • Learn more
  • Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, and AI and technology expertise to deliver valuable customer experiences and accelerated growth across a broad range of industries worldwide. Our one-of-a-kind global boutique approach means we provide our clients with tailored solutions unique to their organisation that can scale due to our extensive footprint. As a values-led organisation, our mission is to make an extraordinary impact on our clients, our people, and our community. We believe it is this approach that has allowed us to work with and transform the most influential brands and organisations in the world, from strategy through to execution.
  • We are part of the OPM Group of Companies, a division of the company Group Inc. Credera will never ask for money up front and will not use apps such as Facebook Messenger, WhatsApp or Google Hangouts for communicating with you. You should be very wary of, and carefully scrutinise, any job opportunity that asks for money prior to starting and/or one where all communications take place exclusively via chat.
  • To the extent permissible by local law, the company’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United Kingdom

About the company

Company hidden

Offices in London, United Kingdom, United Kingdom, Leeds, United Kingdom, Manchester, United Kingdom

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 7 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • A tight salary range, set for one seat: £80K to £95KSlight evidence

How crowded?

5 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Asks for 8+ years: a narrow poolModerate evidence
  • Asks for Snowflake, which only 2% of open roles doSlight evidence

Fits Me

How well does this role fit you?

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  • Stack
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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • Azure
  • Databricks
  • Snowflake
  • LLMs
Type
Full-time
Specialty
Data Engineering
Region
United Kingdom
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
8+ years
Tech stack
  • Python
  • SQL
  • Azure
  • Databricks
  • Snowflake
  • LLMs

Location

Work model
Hybrid
Region
United Kingdom
Offices
  • London, United Kingdom
  • United Kingdom
  • Leeds, United Kingdom
  • Manchester, United Kingdom
Remote from
  • United Kingdom
Days in the office
3 days

Compensation

Salary
£80,000 - 95,000 / year
Pay period
Annual

Employment

Type
Full-time

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