Microsoft Certified Azure Data Engineer Associate Jobs

Microsoft Fabric Architect 

Job Title: Microsoft Fabric Architect 
Job Type: Contract 
Duration: Long-Term Contract 
Location: Raritan, NJ (Onsite/Hybrid)j 

Job Overview 

• 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. 

Key Responsibilities 

• 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. 

Required Qualifications 

• 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.