Microsoft Fabric Real-Time Intelligence (RTI) Architect

SDH Systems LLC
Los Angeles, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Los Angeles, United States of America

Tech stack

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
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
Database Optimization
Spark
Multi-Cloud
Event Driven Architecture
Microsoft Fabric
Storage Technologies
Bicep
Real Time Data
Kafka
Data Management
Machine Learning Operations
Terraform
Stream Processing
Data Pipelines
Databricks
Microservices

Job 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

  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

Requirements

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

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