Data Architect

We are looking for an experienced Event Hub SME / Technical Lead with strong expertise in Microsoft Fabric, Real-Time Intelligence (RTI), Eventhouse, OneLake, and real-time data streaming.

The ideal candidate will be responsible for leading technical design discussions, driving architecture and delivery across multiple Microsoft organizations, and ensuring solutions meet key non-functional requirements (NFRs) such as latency, throughput, scalability, and reliability.

Key Responsibilities

• Lead technical design and architecture discussions with LSEG and coordinate effectively across Microsoft organizations, including ISD, PG, and CSU.
• Own the technical delivery across Microsoft Fabric Real-Time Intelligence (RTI), OneLake, and Eventhouse.
• Provide technical leadership throughout the design, implementation, testing, and delivery lifecycle.
• Own and drive Non-Functional Requirements (NFRs), particularly around latency, throughput, scalability, performance, and reliability.
• Ensure delivery teams define, implement, test, and provide clear evidence against agreed NFRs.
• Provide subject matter expertise in real-time data processing, event-driven architectures, and data streaming.
• Design and implement solutions for data ingestion, processing, transformation, and querying within Microsoft Fabric.
• Work closely with engineering and architecture teams to troubleshoot technical challenges and ensure successful delivery.
• Translate business and technical requirements into scalable and high-performing real-time data solutions.
• Drive technical decisions and ensure alignment across multiple stakeholder groups.

Required Skills & Experience

• Strong hands-on experience with Microsoft Fabric.
• Deep practical experience with Microsoft Fabric Real-Time Intelligence (RTI).
• Strong experience with Eventhouse and real-time data streaming architectures.
• Experience working with OneLake and Microsoft Fabric data services.
• Strong understanding of event-driven and streaming data architectures.
• Hands-on experience with PySpark or Java.
• Strong understanding of data ingestion, processing, transformation, and querying.
• Experience working with Event Hub / event streaming technologies.
• Strong knowledge of performance engineering and NFRs, including latency, throughput, scalability, and reliability.
• Experience leading technical design conversations with enterprise customers and multiple technology teams.
• Strong stakeholder management and technical communication skills.

Nice to Have

• Experience working with large-scale enterprise data platforms.
• Experience with Azure data and streaming services.
• Experience with real-time analytics and event processing.
• Experience working across large, matrixed technology organizations.
• Microsoft Fabric or Azure certifications.