Job Description:
Microsoft Fabric Engineer to support and evolve a strategic, enterprise-wide data and analytics platform. Microsoft Fabric serves as a unified, SaaS-based analytics ecosystem integrating data engineering, data integration, data warehousing, and business intelligence capabilities.
This role is critical to ensuring the platform remains stable, scalable, secure, and optimized for growing business demand. The engineer will provide continuous support across platform administration, data pipeline engineering, governance, and integration-enabling new use cases while maintaining operational excellence in a highly regulated financial services environment.

About this role:
In this role, you will be responsible for the end-to-end engineering and operational support of Microsoft Fabric, a cornerstone platform driving enterprise data strategy and analytics capabilities. The platform integrates core services such as data ingestion, transformation, semantic modeling, and reporting within a unified architecture.
You will contribute to strategic initiatives focused on improving cloud security posture, automating firewall policy management, and enhancing resiliency across environments. This position requires a strong balance of hands-on engineering, architecture, and operational risk management in a highly regulated banking environment.

In this role, you will:

• Lead complex initiatives to design and enhance enterprise data platform capabilities within Microsoft Fabric, supporting business-critical analytics workloads
• Participate in strategic efforts to expand Fabric adoption, onboard new use cases, and improve platform scalability and performance
• Evaluate internal and external data, analytics, and integration solutions to align with target-state architecture and enterprise data strategy
• Review and analyze high-impact incidents related to data pipelines, platform performance, or data quality; implement preventative controls and resiliency improvements
• Design, build, deploy, and maintain Fabric solutions including data ingestion pipelines, transformations, semantic models, and reporting layers
• Develop and optimize data pipelines and orchestration workflows to improve performance, reliability, and cost efficiency
• Implement infrastructure-as-code (IaC) and automation to enable repeatable deployment of Fabric components and supporting services
• Contribute to Agile development practices by designing, testing, debugging, and documenting data engineering and platform solutions
• Make technical decisions on architecture design, integration patterns, and data modeling approaches, while identifying risks and resource requirements
• Manage and support production operations, including monitoring, performance tuning, troubleshooting, and incident response for Fabric workloads
• Enforce enterprise data governance, security, and compliance standards (e.g., RBAC, data lineage, sensitivity labels, and access controls)
• Drive data platform integration across systems, including cloud services, data sources, and downstream applications
• Recommend solutions to optimize platform performance, cost, and scalability while improving data quality and operational efficiency
• Collaborate with data engineering, analytics, cybersecurity, and platform teams to resolve issues and deliver secure, high-quality data solutions
• Interact with internal customers, business stakeholders, and technology vendors (including Microsoft) to deliver and support analytics capabilities

Required Qualifications:

• 5+ years of experience in data engineering, data platforms, or analytics engineering
• Hands-on experience with Microsoft Fabric, or closely related technologies (Power BI, Azure Data Factory, Synapse Analytics)
• Strong experience designing and supporting data pipelines, ETL/ELT processes, and data integration workflows
• Experience with data modeling, semantic layers, and analytics/reporting frameworks
• Proficiency in infrastructure-as-code (e.g., Terraform) and CI/CD practices for data platforms
• Strong understanding of data governance principles, including data lineage, access control, and compliance
• Experience supporting production data platforms, including monitoring, troubleshooting, and performance tuning
• Ability to work in regulated environments with strict security, risk, and compliance requirements
• Strong collaboration and problem-solving skills across cross-functional teams

Desired Qualifications:

• Experience with Microsoft Fabric-specific services (Lakehouse, Data Factory, OneLake, Semantic Models, Real-Time Analytics)
• Experience with enterprise data governance tools (e.g., Microsoft Purview, data cataloging, DLP policies)
• Familiarity with multi-cloud data and analytics ecosystems (Azure, GCP)
• Experience with pipeline optimization, cost management, and performance engineering at scale
• Understanding of DevSecOps practices and secure data platform design
• Knowledge of regulatory and compliance requirements in financial services (data privacy, audit, risk controls)
• Experience integrating Fabric with enterprise identity and access management solutions
• Microsoft certifications related to Fabric, Azure Data Engineering, or Analytics

#LI-NorthAmerica