Microsoft Fabric Architect

• We are seeking an experienced Microsoft Fabric Architect to design, deliver, and govern enterprise-scale data platforms using Microsoft Fabric. The role will partner with engineering, data science, analytics, and business stakeholders to translate business requirements into scalable, secure, and cost-effective Fabric-based solutions that enable self-service analytics and advanced data workloads., * Define end-to-end architecture for Microsoft Fabric solutions including OneLake, Data Integration, Data Engineering (Spark), Data Science, Real-Time Analytics, and Power BI integration.
• Lead migrations from legacy data platforms (on-premises or other cloud services) to Microsoft Fabric, ensuring data integrity, minimal downtime, and cost efficiency.
• Design data models, data lakes/warehouses, and ingestion/ETL/ELT patterns optimized for Fabric.
• Establish governance, security, and compliance patterns including access control, encryption, data classification, data lineage, and auditing.
• Build and enforce best practices for CI/CD, environment promotion, automated testing, and infrastructure-as-code for Fabric deployments.
• Optimize performance and cost through Spark job tuning, query optimization, storage layout, partitioning, caching, and resource management.
• Implement observability and operational runbooks including monitoring, alerting, incident response, and capacity planning.
• Collaborate with analytics and BI teams to enable governed self-service reporting and provide solution guidance for Power BI on Fabric.
• Mentor engineers and data teams on Fabric architecture patterns, Spark, KQL, data modeling, and security practices.
• Evaluate and prototype new Fabric features and third-party integrations; provide roadmap recommendations for adopt/adapt decisions.
• Drive stakeholder communication through architecture reviews, design documentation, and executive-level summaries of technical tradeoffs and costs.

• 9+ years of experience designing and delivering enterprise data platforms; 3+ years with Microsoft Fabric or equivalent modern cloud data platforms.
• Strong experience with Microsoft Fabric components including:
• OneLake
• Data Integration
• Data Engineering Spark
• Power BI integration
• Data Science workflows
• Strong experience with Spark-based data engineering and performance tuning.
• Strong SQL, data modeling (star/snowflake), and large-scale ETL/ELT experience.
• Strong understanding of data governance concepts including RBAC, data masking, lineage, and cataloging.
• Experience with CI/CD pipelines and infrastructure-as-code tools.
• Proven track record of migrating large datasets and workloads to modern data platforms.
• Solid understanding of identity and access management in cloud ecosystems including Azure AD, service principals, and managed identities.

• Ex

• Microsoft certifications such as:
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect or equivalent
• Fabric-specific training or workshops
• Experience with related Azure services including Azure Data Factory, Synapse components, Azure Storage, and Azure Key Vault.
• Familiarity with open data formats including Parquet and Delta and metadata/catalog solutions.
• Experience with real-time/streaming ingestion patterns including Event Hubs, Kafka, and streaming Spark.
• Experience with cost governance and chargeback/FinOps practices.

Technical Skills

Languages & Tools: SQL, Python/Scala, Spark, KQL, Power Query/M, Power BI, Git, CI/CD tools, Terraform/ARM/Bicep or equivalent.

Data Storage & Formats: OneLake concepts, Delta/Parquet, partitioning, and compression strategies.

Monitoring & Observability: Application Insights, Log Analytics, Prometheus or equivalent, and Fabric-native monitoring.

Security:

Data encryption, network isolation, VNet/SASE concepts, and compliance frameworks such as GDPR and HIPAA, as applicable.