Senior Manager, Data Engineering
Job Description
- Experience working in SaaS or enterprise software environments.
- Knowledge of data visualisation and business intelligence tools.
- Understanding of agile methodologies and DevOps practices.
- Lead, mentor, and manage two specialised data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Oversee the design, implementation, and maintenance of data solutions on Microsoft Fabric and Azure Databricks, ensuring scalability, reliability, and security.
- Drive initiatives to optimise the collection, processing, and analysis of cloud vendor cost data and product usage data.
- Collaborate with cross-functional stakeholders, including product, finance, and IT teams, to develop and execute data strategies aligned with organisational goals.
- Establish and enforce best practices for data governance, quality, and compliance across all data engineering projects.
- Identify and implement opportunities for automation and process improvement within the data engineering lifecycle.
- Provide technical leadership and guidance on the adoption of new data technologies and methodologies.
- Monitor and manage team performance, setting clear objectives and ensuring accountability for deliverables.
- Proven experience in data engineering, with at least 3 years in a leadership or management role.
- Deep expertise in Azure cloud services, Microsoft Fabric, and Azure Databricks or similar technologies.
- Experience with large-scale data processing, ETL pipelines, and data warehousing solutions.
- Demonstrated ability to manage and prioritise multiple projects and teams simultaneously.
- Excellent problem-solving, analytical, and communication skills.
- Experience with data governance, security, and compliance requirements in a cloud environment.
- Ability to collaborate effectively with technical and non-technical stakeholders.
Description
Senior Manager, Data Engineering
Data Engineering Leadership (Azure, Microsoft Fabric, Azure Databricks)
About Us:
Our mission is to simplify how brands reach, engage, and serve people by delivering intelligent, personalised digital experiences that connect the world. We empower the world’s most iconic brands to build lifelong relationships with their customers—seamlessly, smartly, and at scale.
As the leading provider of agentic digital experience software, the company brings together content, commerce, and data into one composable platform that enables brands to deliver millions of meaningful, adaptive experiences every day. Trusted by global leaders such as American Express, Porsche, Starbucks, and L’Oréal, the company helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.
Our foundation is our people—a diverse, passionate, and collaborative global team spanning over 25 countries. We believe that every experience matters, and that belief starts with how we work together. Our values—empathy, accountability, clarity, and growth—guide how we lead, innovate, and connect. They are the behaviors that bring our mission and vision to life, every day, in every interaction.
As we continue to evolve, we are actively cultivating AI skills across our teams to unlock new levels of creativity, efficiency, and insight. From engineering to customer experience, AI capabilities are becoming integral to how we design, build, and deliver the next generation of digital experiences. Learn more at Sitecore.com
About the Role:
The company is seeking a highly skilled and experienced Senior Manager, Data Engineering to lead our data engineering initiatives across cloud platforms. The successful candidate will play a pivotal role in managing and developing two high-performing teams: one focused on cloud vendor cost data, and the other on product usage data. This is a critical leadership role, responsible for driving data strategy, optimising cloud data solutions, and ensuring the delivery of actionable insights to support business decisions.
What You’ll Do:
- Lead, mentor, and manage two specialised data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Oversee the design, implementation, and maintenance of data solutions on Microsoft Fabric and Azure Databricks, ensuring scalability, reliability, and security.
- Drive initiatives to optimise the collection, processing, and analysis of cloud vendor cost data and product usage data.
- Collaborate with cross-functional stakeholders, including product, finance, and IT teams, to develop and execute data strategies aligned with organisational goals.
- Establish and enforce best practices for data governance, quality, and compliance across all data engineering projects.
- Identify and implement opportunities for automation and process improvement within the data engineering lifecycle.
- Provide technical leadership and guidance on the adoption of new data technologies and methodologies.
- Monitor and manage team performance, setting clear objectives and ensuring accountability for deliverables.
What You Need to Succeed:
- Proven experience in data engineering, with at least 3 years in a leadership or management role.
- Deep expertise in Azure cloud services, Microsoft Fabric, and Azure Databricks or similar technologies.
- Experience with large-scale data processing, ETL pipelines, and data warehousing solutions.
- Demonstrated ability to manage and prioritise multiple projects and teams simultaneously.
- Excellent problem-solving, analytical, and communication skills.
- Experience with data governance, security, and compliance requirements in a cloud environment.
- Ability to collaborate effectively with technical and non-technical stakeholders.
Additional Skills That Could Set You Apart:
- Experience working in SaaS or enterprise software environments.
- Knowledge of data visualisation and business intelligence tools.
- Understanding of agile methodologies and DevOps practices.
