Bournemouth, Dorset, England, United Kingdom Hybrid / WFH Options
Sanderson
GDPR, BCBS 239, DORA). Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation. Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools. Promote data literacy and deliver training across the organisation. Provide audit and regulatory evidence, supporting internal/external audits and exams. Report on data governance More ❯
global initiatives, ensuring consistency with enterprise data architecture standards and integration principles. Translate business and information requirements into scalable, secure, and performant data solutions leveraging the enterprise platforms (Azure, Databricks, Power BI, SAP BTP, Salesforce, etc.). Ensure data models, pipelines, and analytics solutions are built with reuse, interoperability, and data quality in mind. Enterprise Alignment Embed the Data & AI … Key Interfaces Enterprise Architecture Domains: Integration, Cybersecurity, Application, Infrastructure Data & AI CoE and Data Governance Teams Business Domains: Commercial, Supply Chain, Enabling Functions (Finance, HR, Legal, etc.) Vendors: Microsoft, Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management … and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming, ETL/ELT, event-driven architectures). Ability to translate complex data concepts into clear, value-focused business outcomes. Excellent stakeholder management and communication skills across technical and non-technical audiences. Desirable Experience More ❯
control, policies, and directory service integration. Architect the networking, storage, monitoring, and logging layers required to support a high-volume, data-intensive platform. Prepare the foundational components to support Databricks as the target lakehouse environment. Produce clear, auditable documentation covering architecture decisions, deployment patterns, and reusable templates. Collaborate closely with strategy and architecture stakeholders to ensure alignment with data governance … enterprise-scale Azure environments, ideally within security-conscious or regulated domains. Deep, hands-on expertise in Azure governance, security, IAM, and automation (Terraform, Bicep etc). Strong understanding of Databricks and related lakehouse concepts. Comfortable operating in greenfield or rapidly evolving environments, defining standards where few yet exist. Able to produce high-quality builds and concise, well-structured technical documentation. More ❯
