Posted by
Mihaela Popova
Data & Analytics - Senior Appointments
An exciting opportunity has arisen for an experienced data engineering leader to drive innovation and build a best-in-class data infrastructure at a leading private markets firm. This role will lead a high-performing team in designing and scaling data platforms, with a strong emphasis on Azure Databricks, to enhance investment decision-making and operational efficiency.

REQUIREMENTS

• Proven leadership experience in data engineering, data architecture, or analytics, ideally within investment management, financial services, or private markets.
• Strong expertise in Azure cloud services, Synapse, Databricks, Spark, and data lake architectures.
• Deep understanding of ETL/ELT processes, data modeling, and high-performance data warehousing.
• Experience managing large-scale data platforms and optimizing data pipelines for analytics and reporting.
• Strong strategic mindset with the ability to translate technical capabilities into business value.
• Excellent communication and stakeholder management skills, with the ability to influence senior leadership and drive cross-functional collaboration.
  This is a unique opportunity to shape the future of data engineering within a dynamic investment environment. If you’re a forward-thinking data leader with expertise in Synapse, Databricks, and cloud-based data solutions, I’d love to hear from you.

THE ROLE

As Head of Data Engineering, you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams. Your expertise in data architecture, cloud platforms, and engineering best practices will be instrumental in building scalable, high-performance data solutions that power analytics and business intelligence.

KEY RESPONSIBILITIES

• Lead and develop the data engineering team, fostering a culture of technical excellence and innovation.
• Architect and build scalable data pipelines, integrating structured and unstructured data sources to support investment research and reporting.
• Drive the firm’s cloud-based data strategy, optimizing data storage, processing, and compute efficiency using Azure Synapse, Databricks, and Spark.
• Collaborate with investment and technology teams to develop analytical capabilities, enabling advanced insights and automation.
• Monitor emerging data engineering trends, tools, and best practices to keep the firm at the cutting edge of technology.
• Define and track key performance indicators (KPIs) to measure the impact of data initiatives.