Microsoft Fabric Real-Time Intelligence (RTI) Architect

We are seeking an experienced Fabric RTI Architect to lead the design and implementation of enterprise-scale real-time analytics platforms using Microsoft Fabric. The role focuses on event-driven architecture, streaming data solutions, and real-time decision systems.

The architect will define strategy, establish best practices, and guide engineering teams in building low-latency, high-throughput analytics systems., 1. End-to-End Architecture Design Design enterprise-grade real-time analytics architectures Define patterns for: Event ingestion Stream processing Real-time storage & serving Create scalable and resilient architectures using: Fabric Real-Time Intelligence Eventstreams Kusto databases

1. Real-Time Data Platform Strategy Build roadmap for real-time intelligence adoption Drive platform standardization across business units Evaluate and integrate: Azure Event Hubs / Kafka IoT platforms External streaming systems

2. Streaming & Event-Driven Architecture Design event-driven systems Implement best practices for: Event schema design Exactly-once / at-least-once processing Architect solutions for:High-volume telemetry Log analytics Near-real-time decisioning

3. Data Modeling & Storage Design Design data models for: Time-series data Streaming analytics Architect storage layer using: KQL databases Fabric Lakehouse / Delta Define data retention, partitioning, and indexing strategies

4. Advanced Analytics & Visualization Guide development of: Real-time dashboards (Power BI / Fabric dashboards) Alerting & anomaly detection frameworks Enable operational intelligence systems

5. Performance Optimization & Scalability Optimize: Ingestion throughput Query latency (KQL optimization) Design systems for: Horizontal scalability Fault tolerance and recovery

6. Governance, Security & Compliance Define enterprise governance standards: Data security (RBAC, Purview integration) Data quality and lineage Implement monitoring frameworks

7. Cross-Platform Integration Integrate RTI with: Fabric Lakehouse, Warehouse Synapse, Databricks Power BI ecosystem Enable hybrid and multi-cloud architectures (if needed)
8. Leadership & Stakeholder Management Provide architectural leadership to data engineering teams Work with business stakeholders to: Translate use cases into real-time solutions Conduct design reviews and enforce standards

Core Expertise Microsoft Fabric (especially RTI) KQL (Kusto Query Language) - Expert level Event-driven architecture design Streaming systems architecture Data Engineering & Streaming Experience with:Azure Event Hubs / KafkaReal-time ingestion & processing pipelines Deep understanding of: Windowing Event time processing Stream joins Analytics & BI Power BI real-time dashboards Operational analytics Time-series analysis Cloud & Architecture Azure Data Platform expertise Microservices & distributed systems CI/CD for data platforms Infrastructure as Code (Terraform/Bicep preferred) Programming & Tools Strong SQL / KQL Python / Spark (good to have) Monitoring tools (Azure Monitor, Log Analytics), IoT analytics Fraud detection Observability platforms Knowledge of: AI/ML integration with streaming data Real-time feature engineering

Experience Required 12+ years overall experience in data/analytics 5+ years in streaming / real-time systems Proven track record in architecting large-scale data platforms

Requirements Core Expertise Microsoft Fabric (especially RTI) KQL (Kusto Query Language) - Expert level Event-driven architecture design Streaming systems architecture