Data Engineering Manager

Full-time - Manager

Irvine, CA

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

As a Data Engineering Manager, you will lead a team that builds and manages a complex set of data capabilities to support portfolio construction, research and monitoring capabilities for our multi-asset portfolio solutions business. Our investment professionals use the platform to construct portfolios, monitor and review their portfolios, and to make investment decisions. You will collaborate with the Product Management team, Solutions Engineering team, investment professionals, and technology associates to create and implement detailed quality technical designs for mission critical and complex applications using existing and emerging technology platforms. You have an agile mindset and will contribute to the design, implementation, and delivery of large-scale, critical, and complex data architecture, storage, and pipelines. You will build enterprise data processing and analytics systems, optimizing both computational and storage efficiencies on cloud platforms. In this role, you will lead a team of Data Engineers and be responsible for their coaching and professional development. You are a player-coach, passionate about our mission, and committed to driving superior long-term investment results through the application of modern engineering and data management methods.

Responsibilities

• Lead a team of Data Engineers to build and manage data capabilities.
• Collaborate with Product Management, Solutions Engineering, and investment professionals.
• Create and implement technical designs for complex applications.
• Contribute to the design and delivery of data architecture and pipelines.
• Build enterprise data processing and analytics systems on cloud platforms.
• Coach and develop team members in their professional growth.

Requirements

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• Experience leading a team of Data Engineers with at least 3+ direct reports.
• Strong experience in distributed processing systems like Spark, SQL, NoSQL, and Streams.
• Expertise in building ETL data pipelines using Python and PySpark.
• Experience with monitoring & alerting solutions and data processing technologies like Hadoop and Kafka.
• Strong background in Cloud Data Platforms (AWS preferred).
• Familiarity with data warehousing solutions and tools like Dremio and Synapse.
• Extensive prior experience as a data engineer with knowledge of engineering best practices.
• Ability to communicate effectively with teams and leadership.

Nice-to-haves

• Experience managing 5+ direct reports.
• Prior experience in building tools for multi-asset portfolio construction and investment.

Benefits

• Highly competitive base salary ranging from $194,862 to $311,779.
• Individual annual performance bonus.
• Annual profitability bonus.
• Retirement plan with 15% contribution of eligible earnings.