Manager, Investment Engineering (Analytics Platforms)

Responsibilities

• Lead the design, build, and evolution of a highly scalable, secure, and resilient data platform architecture that unifies multi-source investment data for batch and real-time processing.
• Architect data infrastructure optimized to simultaneously serve high-concurrency client-facing digital tools and low-latency internal analytics applications.
• Implement robust data patterns, discovery tools, and optimized compute layers to allow investment professionals and business units to run complex ad hoc queries efficiently without platform degradation.
• Manage, mentor, and grow a team of high-performing investment engineers, maintaining a hands-on presence by participating in system design, writing core framework code, and conducting critical code reviews.
• Establish comprehensive data quality frameworks, lineage tracking, and security controls to guarantee trust and compliance across all data products.
• Collaborate with downstream application teams, product managers, and technology executives to define data contracts, SLAs, and infrastructure roadmaps that support company-wide data monetization and analysis.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or similar technical discipline. Relevant experience considered in lieu of specific degree.
• 10+ years of hands-on data engineering experience, with a proven track record of architecting enterprise data platforms.
• Deep expertise in production Python, advanced SQL tuning, orchestrators (e.g. Airflow), comprehensive testing, and data transformation frameworks (e.g. dbt).
• Strong experience designing robust APIs and streaming architectures (e.g. Kafka) to seamlessly serve data to external-facing web applications.
• Master-level understanding of data warehousing concepts, semantic layer design, and diverse modeling methodologies tailored for financial markets or portfolio analytics.
• 3+ years of direct engineering management experience, with a demonstrated ability to recruit top talent, interface with centralized Technology teams, and balance technical debt with feature delivery.
• Familiarity with institutional investment datasets (e.g., security master, corporate actions, fundamental data, returns, or market data feeds from vendors like Bloomberg, FactSet, or MSCI).

Benefits

Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.