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# Microsoft Fabric Real-Time Intelligence (RTI) Architect

- **Company:** SDH Systems LLC
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Retention, Data Security, Data Systems, Distributed Systems, Fault Tolerance, Fraud Prevention and Detection, Monitoring of Systems, Python (Programming Language), Log Analysis, Performance Tuning, Role-Based Access Control, Power BI, Kusto Query Language, Standard Sql, Data Streaming, Systems Integration, Real Time Systems, Feature Engineering, Azure Data Factory, Database Optimization, Apache Spark, Multi-Cloud, Event Driven Architecture, Microsoft Fabric, Storage Technologies, Bicep, Real Time Data, Apache Kafka, Data Management, Machine Learning Operations, Terraform, Stream Processing, Data Pipelines, Databricks, Microservices
- **Published:** June 23, 2026
- **Apply:** https://www.dice.com/job-detail/e2facfbf-a596-49a4-8a75-c4f87659f2dd

## About the Role

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

## Description

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

 2. 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

 3. 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
 4. 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

 5. Advanced Analytics & Visualization Guide development of: Real-time dashboards (Power BI / Fabric dashboards) Alerting & anomaly detection frameworks Enable operational intelligence systems
 6. Performance Optimization & Scalability Optimize: Ingestion throughput Query latency (KQL optimization) Design systems for:
Horizontal scalability Fault tolerance and recovery

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

 8. Cross-Platform Integration Integrate RTI with: Fabric Lakehouse, Warehouse Synapse, Databricks Power BI ecosystem Enable hybrid and multi-cloud architectures (if needed)
 9. 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


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