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Data Architect

Astreya

RemoteFull timeMid levelPosted today
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About the role

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.

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