Data Architect

Infinigate Group are a leading, global distributer, specialising in total cyber security solutions and services.

With 4 UK offices based in London, Woking, South Cerney and Fareham, we take pride in providing unrivalled support and value for our vendor and reseller partner communities.

Our team at Infinigate consists of IT security experts as well as highly skilled support staff.

With the right people in place, our laser focus is on positive customer outcomes and long-term stable partnerships with our vendors.

To deliver this objective we adopt a flat hierarchy, high performing teams, efficient decision-making processes and a nurturing and learning environment which rewards performance.

Role Purpose

Join Infinigate Group as a Data Architect and play a pivotal role in shaping the future of our data and AI capabilities.

Working within our innovative AI & Data team, you’ll design scalable, secure data architectures that power analytics, automation and AI, while helping drive business-wide data strategy and transformation.

We're looking for a highly experienced Data Architect with deep expertise in modern cloud data platforms, data modelling and enterprise architecture.

You’ll have a proven track record of designing scalable lakehouse and data warehouse solutions, establishing governance frameworks, and creating trusted data assets that drive business value.

Comfortable operating as a technical leader, you’ll influence architectural direction, champion best practices across engineering and analytics teams, and leverage emerging technologies, including AI-assisted tooling, to deliver innovative, resilient and future‑ready data solutions.

We are pleased to offer this permanent opportunity as a fulltime role based hybrid from one of our 4 office locations (Fareham, London, Woking or South Cerney) – 3 days in office, 2 working from home.

Duties & Responsibilities

• Lead the design and evolution of enterprise data architecture that supports business intelligence, analytics, automation and AI use cases
• Develop conceptual, logical and physical data models for core business domains, data products, reporting layers and analytical platforms
• Define data integration patterns, data flow designs and reusable architecture standards for batch, streaming, API-based and event-driven data movement
• Establish data governance, data quality, metadata, lineage, security and privacy standards in partnership with engineering, governance and business stakeholders
• Collaborate with data engineers, analytics engineers, product owners and business stakeholders to translate requirements into scalable, maintainable and secure data solutions
• Provide technical leadership through architecture reviews, design documentation, data standards, reference patterns and guidance for delivery teams
• General Skills
• Strong SQL, data modelling and data platform skills, with practical experience designing schemas, semantic layers, dimensional models and enterprise data structures
• Hands‑on experience with modern data platforms such as Databricks, Microsoft Fabric, Azure Data Lake, Azure Synapse, Snowflake or comparable cloud data technologies
• Experience designing lakehouse, data warehouse, data mart and data product architectures that support trusted analytics and operational reporting
• Ability to define metadata, lineage, master data, reference data and data quality approaches that improve trust, discoverability and reuse of data assets
• Experience using Databricks, Spark and lakehouse concepts for scalable data storage, transformation, governance and analytical consumption
• Familiarity with Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Purview or comparable cloud‑based data architecture and governance services
• Experience with engineering practices including Git, automated testing, CI/CD, infrastructure‑as‑code, documentation and operational monitoring for data platforms
• Ability to use AI‑assisted development and documentation tools responsibly to improve architecture design, productivity and knowledge sharing
• Proven track record delivering data architecture, data platform or enterprise data management solutions in production environments
• Ability to analyse complex, ambiguous business problems and translate them into practical data architecture approaches
• Personal requirements

Infinigate’s values underpin a strong collaborative working culture and successful inclusive working environment.

• Own it! Outstanding verbal and written communication skills with the ability translate concepts to multiple stakeholders
• Aim high! A self‑starter with excellent multitasking abilities
• Be open! A team player, embracing business concepts and flexible to change
• 25 days annual leave rising to 28 days with length of service, plus bank holidays.
• Day off on your birthday.
• Electric Car Lease Scheme
• Cycle to work scheme
• Life assurance of 4 x basic salary and group income protection from start date
• 5% employer matched pension contributions after 3 months service.
• Individual cover for private medical insurance and healthcare cash plan following successful completion of probationary period.
• Hybrid working arrangements and standard office working hours are 9am – 5.30pm
• Employee assistance programme for practical and emotional support.
• Free parking and complimentary refreshments onsite.

Infinigate Group are committed to creating a diverse and inclusive workplace where differences are not only accepted but also valued and appreciated.

If any reasonable adjustments would support you through the recruitment process, please make us aware by answering the relevant application questions.

For any further queries, please contact us at jobsuk@infinigate. com.

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