Manager, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Dimensional Fund Advisors is seeking an experienced Investment Engineering leader in Austin to own the data lifecycle—from acquisition to distribution—driving scalable data platforms and actionable insights for internal and external clients.

You will guide a team of engineers, ensure data quality and security, and collaborate with product and tech executives to map data contracts and roadmaps for analytics and monetization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or a similar technical discipline; relevant experience may substitute.
• 10+ years hands-on data engineering experience building enterprise data platforms.
• Strong Python, advanced SQL tuning, Airflow, testing, and data transformation frameworks.
• Experience designing robust APIs and streaming architectures (Kafka) for external and internal data delivery.
• Deep understanding of data warehousing, semantic layer design, and financial data modeling.
• 3+ years of direct engineering management experience, recruiting and leading teams.
• Familiarity with institutional investment datasets (e.g., security master, market data)

Responsibilities

• Lead design and evolution of a scalable, secure data platform for multi-source investment data.
• Architect data infrastructure to serve high-concurrency client tools and low-latency analytics.
• Implement robust data patterns, discovery tools, and optimized compute layers for ad-hoc queries.
• Manage and mentor a team of investment engineers; participate in design and code reviews.
• Establish data quality, lineage, and security across data products.
• Collaborate to define data contracts, SLAs, and roadmaps for data monetization and analysis.

Skills

Python

SQL

APIs

Data modeling

Leadership

Mentoring

Education

CS/SE/DS degree

Tools

Airflow

dbt

Kafka

SQL tuning

Job description

Role Overview

Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering owns the investment data lifecycle—from acquisition to distribution—driving analysis to create actionable information for internal and external clients and reports.

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.

This role is not eligible for immigration sponsorship.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or a similar technical discipline. Relevant experience considered in lieu of a 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 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).

This role is not eligible for immigration sponsorship.

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.

Equal Opportunity Employment Statement

It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.