Overview
The Head of Data Engineering will spearhead the data engineering function, implementing strategy and architecture for a Microsoft Fabric-led data environment. This leadership role involves collaborating with a multidisciplinary team to enhance data integration, governance, and operational excellence while overseeing the adoption of modern data architectures and engineering practices.
Responsibilities
- Lead the Data Engineering function and define the enterprise data engineering strategy.
- Provide senior technical leadership in technologies including Microsoft Fabric, OneLake, and Spark Notebooks.
- Design and oversee modern cloud-first data architectures with a focus on Delta Lake and medallion patterns.
- Lead the integration strategy across key enterprise platforms such as Salesforce, Workday, and Dynamics 365.
- Develop and manage a multidisciplinary engineering team, ensuring adherence to strong engineering standards.
- Oversee data governance and security measures, ensuring compliance and data quality.
- Establish CI/CD and automated deployment practices while optimising performance and cost in the data estate.
Requirements
- Extensive experience in data engineering leadership, particularly with Microsoft Fabric.
- Strong knowledge of cloud-first data architectures and data migration strategies for legacy platforms.
- Expertise in enterprise data integration across platforms such as Salesforce and Workday.
- Proven ability to lead and develop cross-functional engineering teams.
- Experience implementing data governance and security frameworks.
- Strong background in DevOps practices including CI/CD and infrastructure as code.
- Skill in optimising data performance and managing data costs.