Lead Data Architect opportunity to shape engineering capability, standards, and technical strategy in a leading provider of business technology solutions.
Requirements
- Lead, mentor, and develop Senior Data Engineers
- Provide technical direction, guidance, and oversight across all data engineering projects
- Deliver technical assurance by reviewing solution designs, pipelines, architectures, and implementation approaches
- Oversee the design and delivery of scalable, cloud-native data solutions using Azure technologies
- Act as a senior technical advisor to clients
- Support the sales team by joining client calls, providing technical expertise, and contributing to solution shaping
- Collaborate with Data Architects, AI Specialists, and other cross-functional teams to design cohesive end-to-end solutions
- Keep the engineering team aligned with emerging technologies, tools, and cloud capabilities
- Identify opportunities to improve efficiency through automation, accelerators, and reusable components
- Contribute hands-on technical expertise when required to unblock teams or solve complex engineering challenges
- Engage in continuous improvement initiatives to advance engineering maturity and standardisation across the practice
- Strong people skills; able to engage clients around understanding their problems and solution-forming, as well being able to inspire and motivate your teams
- Experience in working with stakeholders to propose appropriate solutions across a broad range of technical challenges
- Deep expertise in Azure Data Platform components, including Azure Data Lake Storage, Azure SQL, Azure Synapse, Azure Data Factory, and Azure Databricks
- Strong hands-on experience building end-to-end data pipelines using Azure-native ELT/ETL frameworks and modern orchestration patterns
- Advanced knowledge of Microsoft Fabric, including lakehouses, warehouses, pipelines, notebooks, dataflows, and monitoring
- Strong understanding of OneLake as a unified storage layer and how to optimise performance, cost, and governance within Fabric
- Significant experience with Power BI, including data modelling, DAX, dataset management, semantic models, and enterprise BI design
- Understanding of how Power BI integrates with Fabric, including DirectLake, security, and data lineage
- Strong capability in Microsoft Purview, including data governance, data cataloguing, classification, lineage, policy setup, and access controls
- Ability to embed governance frameworks across engineering teams using Purview workflows and automation
- Experience designing secure and compliant data solutions aligned to enterprise standards and regulatory requirements
- Strong foundation in data modelling, including dimensional modelling, lakehouse design, and semantic layer optimisation
- Expertise in CI/CD for data engineering, including Git integration, code reviews, deployment pipelines, and DevOps practices
- Ability to lead technical assurance across cloud architectures, pipelines, storage layers, and data models
- Hands-on expertise implementing API integrations, ingestion patterns, and real-time / streaming data solutions
- Familiarity with Microsoft Foundry concepts, including AI application development, model lifecycle workflows, and integration with enterprise data platforms
- Understanding of how Foundry solutions can extend the data engineering ecosystem through AI-driven automation, copilots, and custom workflows
- Strong capability in data quality frameworks, observability, monitoring, and operational support of production pipelines
- Experience with performance tuning across compute, storage, pipelines, and BI models to optimise cost and efficiency
- Ability to evaluate new technologies, patterns, and tools across Azure, Fabric, Power BI, Purview, and Foundry to guide technical strategy
Benefits
- Generous annual leave allowance
- Enhanced family friendly benefits
- Pension scheme
- Access to private health
- Well-being and insurance schemes
