Head of Data Engineering at Pantheon Ventures Careers

Pantheon has spent over 40 years at the forefront of private markets investing, managing approximately $65bn in discretionary assets for more than 650 clients. We are looking for a Head of Data Engineering to lead the evolution of our data platform and drive our firm-wide analytics strategy from our United Kingdom offices.

Responsibilities

• Collaborate with leadership across Technology, Investment, and Investor Relations to execute our data engineering strategy.
• Oversee the enhancement of our data lake, pipelines, and reporting infrastructure to ensure high-quality, accessible data.
• Manage and mentor a high-performing team of data professionals, fostering a culture of innovation and continuous improvement.
• Lead the deployment and operationalization of Azure Databricks and lakehouse architecture for scalable processing.
• Partner with the Change Office to deliver data products like our internal analytics platform, Prism.
• Establish data governance, quality standards, and KPIs to measure the impact of our data initiatives.
• Champion a user-centric approach to data platform design to ensure intuitive and effective self-service analytics.
• Stay current on private markets trends and regulatory requirements to maintain our competitive edge.

Must-haves

• Extensive experience managing and optimizing Azure Databricks environments, including metadata management and data governance.
• Proven track record of working with data within financial services, asset management, or private markets.
• Strong proficiency in Python, SQL, and PySpark.
• Experience with Azure DevOps and the Scrum framework for managing workflows.
• Expertise in data infrastructure tools such as Terraform and reporting platforms like PowerBI and Tableau.
• Demonstrated ability to lead and develop globally distributed teams.
• Excellent communication skills with the ability to influence stakeholders at all levels.
• A bachelor’s degree in Engineering, Technology, Data Science, or a related field.
• Fluency in English.

Nice-to-haves

• An advanced degree in a relevant field.
• Experience with Unity Catalog functionality within Azure Databricks.
• Familiarity with private markets software such as eFront.
• Experience with product management tools like Aha, Miro, and Visio.

Benefits

We are committed to building a diverse and inclusive workforce and encourage you to apply even if your background does not perfectly align with every requirement.