Role Summary
A Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
? Solution Architecture & Design
- Define end-to-end data architecture using Microsoft Fabric
- Design Lakehouse architectures (Delta Lake, Medallion layers: Bronze, Silver, Gold)
- Architect data integration, ingestion, transformation, and serving layers
- Define architecture patterns for batch, streaming, and real-time data processing
- Lead implementation of:
- Fabric Workspaces & governance model
- Data Pipelines & Dataflows Gen2
- Notebooks (Spark-based engineering workloads)
- Data Warehouse & Lakehouse solutions
- Fabric Workspaces & governance model
- Configure and optimize OneLake data management
- Design enterprise-grade semantic models (Power BI datasets)
- Establish best practices for data modeling (star schema, dimensional modeling)
- Enable self-service BI and governed analytics
- Integrate Fabric with:
- Azure services (ADLS, Synapse, Azure SQL, Event Hub, etc.)
- External data sources (ERP, CRM, APIs)
- Azure services (ADLS, Synapse, Azure SQL, Event Hub, etc.)
- Design hybrid/multi-cloud data integration where required
- Implement data governance, lineage, and cataloging
- Define role-based access control (RBAC) and data security strategies
- Ensure compliance with enterprise data policies
- Optimize workloads for:
- Query performance
- Cost efficiency (capacity planning)
- Data storage strategies
- Query performance
- Monitor and troubleshoot Fabric environments
- Work closely with:
- Business stakeholders
- Data engineers, analysts, and scientists
- IT and cloud teams
- Business stakeholders
- Provide technical leadership and mentorship
- Drive design reviews and architecture governance
✅ Core Technical Skills
- Strong experience with Microsoft Fabric / Synapse / Azure Data Platform
- Expertise in:
- Data Lakehouse architecture
- Spark / PySpark
- SQL & Data Warehousing (MPP systems)
- Data Lakehouse architecture
- Experience with:
- Data Pipelines / ETL/ELT frameworks
- Power BI (advanced modeling, DAX)
- Data Pipelines / ETL/ELT frameworks
- Hands-on experience in Azure ecosystem
- Knowledge of:
- Data ingestion tools (ADF, Fabric pipelines)
- Streaming technologies (Kafka/Event Hub)
- Delta Lake & parquet formats
- Data ingestion tools (ADF, Fabric pipelines)
- Enterprise data architecture design
- Data governance frameworks (Purview preferred)
- Scalable and cost-optimized solution design
- Strong stakeholder communication
- Solution-oriented thinking
- Leadership and mentoring capability
- Microsoft Certifications (highly desirable):
- DP-600: Fabric Analytics Engineer
- DP-203: Data Engineering on Azure
- PL-300: Power BI Data Analyst
- DP-600: Fabric Analytics Engineer
- Experience with AI/ML integration within Fabric
- Familiarity with DevOps (CI/CD for data platforms)
Skills Required
- Strong experience with Microsoft Fabric, Synapse, and Azure Data Platform
- Data Lakehouse architecture (Delta Lake, medallion layers)
- Spark / PySpark (notebook-based Spark engineering workloads)
- SQL and Data Warehousing experience (MPP systems)
- Experience designing and implementing data pipelines / ETL / ELT frameworks
- Power BI advanced modeling and DAX (semantic models / datasets)
- Hands-on Azure ecosystem experience (ADLS, Azure SQL, Synapse)
- Knowledge of data ingestion tools (ADF, Fabric pipelines) and Dataflows Gen2
- Experience with streaming technologies (Kafka, Event Hub)
- Delta Lake and Parquet data format expertise
- Enterprise data architecture design and scalable, cost-optimized solutions
- Data governance, lineage, and cataloging knowledge (Purview preferred)
- Strong stakeholder communication, leadership, and mentoring capability
- Microsoft certifications (DP-600, DP-203, PL-300)
- Experience with AI/ML integration within Fabric
- Familiarity with DevOps and CI/CD for data platforms
What We Do
iLink Digital, a CMMI Level 3 and ISO 9001:2015 Certified Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc. What makes iLink Digital's offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.
