Infinigate Holding AG
Data Architect
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Data Architect
Infinigate Group are looking to recruit a Data Architect for an exciting, dynamic role within the Infinigate AI and Data Team. Working alongside an eager team where collaboration, innovation, and personal development are key pillars, you will design and govern scalable, secure, and reusable data architectures that support analytics, reporting, automation, and AI use cases across the business.
We are hiring a Data Architect to define, design, and evolve enterprise data architecture across modern cloud and lakehouse platforms. You will translate business, analytics, and AI requirements into robust data models, integration patterns, platform standards, and governance controls that create trusted, reusable data assets.
This is a senior technical leadership role with architecture ownership scope: you will shape data architecture principles, guide design reviews, collaborate with engineering and analytics teams, and make practical trade-offs across data modeling, integration, governance, performance, security, cost, and operational resilience.
Key Skills and Experience
- Strong SQL, data modeling, 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
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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
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Benefits
- £80,000 - £100,000 salary per annum
- 25 days annual leave rising to 28 days with length of service, plus bank holidays
- Day off on your birthday
- 2 paid volunteer days per year
- Additional holiday purchase scheme
- 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
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