Job Summary
The Microsoft Fabric Core Lead Engineer will architect, design, develop, implement, and support enterprise-scale data and analytics solutions using Microsoft Fabric. This role provides technical leadership, drives architecture decisions, mentors engineering teams, and ensures the delivery of scalable, secure, and high-performing data platforms supporting analytics, AI, and business intelligence workloads.
Key Responsibilities
• Design and implement enterprise data platforms using Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.
• Architect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.
• Establish reusable data architecture patterns and reference architectures.
• Design and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.
• Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems.
• Implement data transformation, cleansing, validation, and orchestration processes.
• Optimize data ingestion strategies for performance and reliability.
• Design dimensional models, Lakehouse architectures, and enterprise data warehouses.
• Develop semantic models and datasets for Power BI reporting and self-service analytics.
• Collaborate with business teams to translate analytical requirements into scalable data solutions.
• Optimize Spark workloads, SQL Warehouse performance, and OneLake storage utilization.
• Implement partitioning, indexing, caching, and workload optimization strategies.
• Monitor platform performance and proactively resolve performance bottlenecks.
• Implement enterprise security using Microsoft Entra ID, RBAC, and Fabric workspace security.
• Define governance policies for data quality, lineage, cataloging, auditing, and compliance.
• Ensure adherence to enterprise security, privacy, and regulatory standards.
• Implement CI/CD pipelines using Azure DevOps or GitHub.
• Automate deployment of Microsoft Fabric artifacts across Development, QA, UAT, and Production environments.
• Manage source control, release management, and deployment automation.
• Enable AI, Machine Learning, and Copilot capabilities within Microsoft Fabric.
• Support data science workloads using Spark, notebooks, and machine learning models.
• Collaborate with AI teams to operationalize predictive analytics and intelligent data solutions.
• Lead production deployments and post-production support activities.
• Monitor platform health, troubleshoot incidents, and support SLA compliance.
• Implement disaster recovery, backup, and business continuity strategies.
• Collaborate with enterprise architects, product owners, business stakeholders, and cross-functional teams.
• Participate in architecture review boards and technical governance meetings.
• Communicate technical solutions and project status to senior leadership.
• Mentor engineering teams on Microsoft Fabric technologies and data engineering best practices.
• Conduct code reviews, design reviews, and technical knowledge-sharing sessions.
• Drive continuous improvement initiatives and promote engineering excellence.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 15+ years of experience in data architecture, data warehousing, or cloud data platform development.
• 4+ years of hands-on experience with Microsoft Azure Data Platform technologies.
• 2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.
• Strong expertise in SQL, PySpark, Python, and Spark optimization.
• Hands-on experience with Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.
• Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.
• Strong knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.
• Experience leading technical teams and delivering large-scale enterprise data modernization programs.
Preferred Qualifications
• Experience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft Purview.
• Knowledge of Agile/Scrum delivery methodologies.
• Strong communication, stakeholder management, and problem-solving skills.
Certifications
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
• Microsoft Certified: Azure Data Engineer Associate (DP-203).
