Jobs

Solution Architect - Data Platforms


Job details
  • Trinnovo Group
  • London
  • 3 days ago

Senior Solutions Architect - Data London - Hybrid 6 Months £500 - £585 inside IR35 My client is looking for an experienced Senior Solutions Architect to lead the design and implementation of a greenfield enterprise data lake based on the Microsoft Fabric toolset. This is an exciting opportunity to shape the future of data architecture, working on a project that is halfway through the design phase. Key Responsibilities: Present clear solution designs to senior stakeholders and guide the ongoing development of the data lake. Lead design workshops, addressing complex security and service model needs with minimal guidance. Experience with cloud-based solutions, particularly Microsoft Fabric (preferred) and Purview, to support enterprise data lake architecture. Help define a structured approach to migrate various data sources into the lake using a pattern-based methodology. Knowledge of the medallion framework for data organisation and governance. Proficient in data integration, warehouses, streaming, and transformations using Azure tools. Understanding of Data Lake security models and API contract design (AWS preferred). Familiarity with RBAC models leveraging EntraID (preferred). Lead and own the creation of the Data Solution Architecture for the greenfield project, including full documentation. Align business drivers with technical solutions, addressing opportunities and identifying areas for improvement. Define standards and solution patterns, ensuring alignment with the future-state architecture. Involved in procurement, conducting market research, documenting non-functional requirements, and evaluating vendors. Skills: Strong understanding of data compliance, governance, security, and ethical considerations in a cloud environment. Expertise in data modeling techniques (entity relationship, enterprise data, dimensional, integration). Experience with reporting and analytics, especially using PowerBI (Synapse is a plus). Knowledge of DevOps/DataOps methods to ensure automated and controlled data pipelines.

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