Data Engineering Manager

I can succeed as a Data Engineering Manager at Capital Group.

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.

I am the person Capital Group is looking for.

• You have a bachelor’s degree in Computer Science, Engineering or a related technical field
• You are a people leader, capable of leading a team of Data Engineers while developing and mentoring individuals on the team.
• You encourage your team to be effective and efficient through a metrics-driven analytical approach.
• You are a hands-on manager, architecting, designing, and guiding your team members, and have a strong technical ability to provide feedback in design reviews and code reviews.
• You have significant experience running business critical data capabilities effectively.
• You can seamlessly partner with Product, business users, Architecture, Enterprise Data Office, and other technology teams.
• You are a continuous learner who seeks out stretch opportunities to build new technical skills and expand business acumen.
• You have led a team of at least 3+ direct reports to deliver high-quality data and analytics solutions. Experience managing 5+ direct reports is a plus.

Qualifications :

• You have strong experience in various data systems and structures (i.e., SQL, NoSQL, Key-Value, Streams); your expertise includes building ETL data pipelines using Python and Pyspark and orchestration tools like Apache Airflow, Luigi, etc.
• You are an experienced manager of data engineers (5+ years)
• You have extensive prior experience as a data engineer, with a solid understanding of engineering best practices (e.g.

Agile software development, test-driven development, unit testing, code reviews, design documentation, etc.)

You understand the importance of implementing end-to-end monitoring & alerting solutions, and utilization of data processing technologies (i.

e., Hadoop, Apache Spark, AWS Glue, and Kafka)

• You are passionate about management, leadership, and developing others.
• You have a strong background in Cloud Data Platforms using any one of the leading cloud platforms -AWS / Azure / GCP. (AWS preferred)
• You possess the business acumen and the ability to communicate effectively with your team, distributed teams, and with the leadership team.
• You can implement cloud-based solutions using technologies such as modern distributed systems design patterns, microservices, streaming platforms, and container orchestration systems (Docker, Swarm, Kubernetes).
• You're thoughtful in your approach to ensuring engineering best practices are established, understood, and adopted by the teams you lead.
• Prior experience in building tools for multi-asset portfolio construction and investment preferred.

Southern California Base Salary Range : $187,370-$299,792