MICROSOFT FABRIC ARCHITECT

We are seeking a highly skilled and experienced Senior Data Architect specializing in Microsoft Fabric to join our dynamic team in a client-facing role. As a Microsoft Fabric Architect at our consultancy, you will have the opportunity to work with a diverse range of clients across multiple industries, providing innovative data solutions and leveraging Microsoft’s cutting-edge technologies.

JOB SUMMARY

We are seeking a highly skilled and experienced Senior Data Architect specializing in Microsoft Fabric to join our dynamic team in a client-facing role. As a Microsoft Fabric Architect, you will be able to work with a diverse range of clients across multiple industries, providing innovative data solutions and leveraging Microsoft’s cutting-edge technologies.

• Client Engagement and Consultation: Collaborate with clients to understand their business requirements, data challenges, and objectives. Provide expert guidance on leveraging Microsoft Fabric to achieve their goals.
• Solution Design: Lead the design and architecture of end-to-end data solutions that integrate Microsoft Fabric components such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Power BI, and other relevant technologies.
• Implementation and Deployment: Oversee the implementation and deployment of data solutions, ensuring they align with best practices and industry standards. Work closely with development teams to ensure seamless integration and performance optimization.
• Data Modelling and Integration: Design and implement data models, data pipelines, and integration strategies to ensure robust data flow and accessibility across various systems and platforms.
• Performance Tuning and Technical Optimization: Identify and resolve performance bottlenecks, ensuring high availability, scalability, and efficiency of data solutions.
• Security and Compliance: Ensure that data solutions adhere to security and compliance standards, including data privacy regulations and organizational policies.
• Technical Leadership: Provide technical leadership and mentorship to junior team members, encouraging knowledge sharing and continuous improvement.
• Project Management: Lead and manage data projects, including scoping, planning, resource allocation, and risk management. Ensure that projects are delivered on time, within scope, and within budget.
• Client Training and Support: Conduct training sessions and provide ongoing support to clients, enabling them to effectively utilize the implemented data solutions.