Role Overview
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.
Key Responsibilities
? 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
Required Skills
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 / Kafka
Real-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)
Preferred Qualifications
Microsoft certifications:
Azure Data Engineer / Fabric Analytics Engineer
Experience in:
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