Microsoft Data Engineering and Analytics Manager

Location: South End Circle

Role Overview
We are seeking an experienced Microsoft Data Engineering and Analytics Manager to lead our enterprise data
platform initiatives across  Microsoft Azure and Microsoft Fabric . The ideal candidate will bring deep expertise in modern data engineering,
analytics architecture, and Microsoft’s unified data ecosystem. This role involves leading a high-performing team,
defining data strategy, and delivering scalable, secure, and business-driven analytics solutions.

Key Responsibilities
∙Lead the architecture, design, and implementation of modern data platforms using Azure and Microsoft
Fabric.
∙Design and implement solutions leveraging:
Microsoft Fabric (One Lake, Data Factory, Lakehouse, Warehouse, Real-Time Analytics)
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure Data Lake Storage
Power BI (including Fabric-integrated semantic models)
SQL Server / Azure SQL
∙Architect end-to-end data solutions including ingestion, transformation, modeling, visualization, and
governance.
∙Manage and mentor a team of data engineers, analytics engineers, and BI developers.
∙Establish enterprise data governance, security, compliance, and data quality frameworks across Azure
and Fabric environments.
∙Drive Lakehouse architecture and modern data warehousing patterns.
∙Oversee ETL/ELT pipelines using Fabric Data Factory and Azure-native services.
∙Implement CI/CD and Dev Ops best practices for Fabric and Azure data workloads.
∙Collaborate with business stakeholders to translate analytical requirements into scalable and high
- performance solutions.
∙Optimize cost, performance, and scalability of Azure and Fabric workloads.
∙Stay updated with Microsoft Fabric roadmap and evolving analytics capabilities.

Required

Skills & Qualifications
∙Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
∙8+ years of experience in data engineering, analytics, or data platform architecture.
∙3+ years of experience leading technical teams.
∙Strong hands-on expertise in:
Microsoft Fabric (Lakehouse, Warehouse, Data Factory, One Lake)
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure SQL / SQL Server
Power BI
∙Strong knowledge of Lakehouse architecture and modern data platform design.
∙Proficiency in Python, SQL, Spark, and data modeling techniques.

∙
Experience with Delta Lake and medallion architecture.
∙Understanding of data governance, security models, and role-based access control.
∙Experience implementing CI/CD pipelines using Azure Dev Ops.
∙Strong stakeholder communication and leadership skills.

Preferred Qualifications
∙Microsoft Certifications such as:

Azure Data Engineer Associate
Fabric Analytics Engineer Associate
Azure Solutions Architect Expert

∙
Experience with real-time analytics (Event Hub, Fabric Real-Time Analytics, Stream Analytics).
∙Experience integrating AI/ML workloads within Fabric or Azure.
∙Experience in enterprise-scale digital transformation programs.

Key Competencies
∙Strategic thinking and data-driven leadership
∙Strong architectural decision-making skills
∙Team development and mentoring
∙Stakeholder engagement and business alignment
∙Innovation and continuous improvement mindset