Manager, Investment Engineering (Analytics Platforms) at Dimensional Fund Advisors | TX, US | Rezi

Manager, Investment Engineering (Analytics Platforms) at Dimensional Fund Advisors

Manager, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors · TX, US

3 weeks ago

Manager, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors · TX, US

21 days ago
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About the Role

Investment Engineering is responsible for ownership of investment data, managing it from acquisition through distribution, driving analysis to create information from data, and producing information and analysis consumed by internal and external clients and reports. The Analytics Platforms team creates tools for clients to understand Dimensional’s products and analyze how they might fit inside a client’s portfolio. The Data Platform serves as the data and computational engine of this ecosystem, powering downstream analytics applications, feeding client-facing digital products, and enabling self-service exploration for investment professionals.

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.

Requirements

  • 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.
  • 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.
  • This role is not eligible for immigration sponsorship.
  • Resumes and portfolios (when applicable) are required as part of your application.
  • The use of Artificial Intelligence during interviews and skill testing is prohibited, unless Dimensional Fund Advisors has authorized such use.
  • If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, such accommodation is available upon request.

Skills

  • Production Python
  • Advanced SQL tuning
  • Orchestrators (e.g. Airflow)
  • Comprehensive testing
  • Data transformation frameworks (e.g. dbt)
  • Designing robust APIs
  • Streaming architectures (e.g. Kafka)
  • Data warehousing concepts
  • Semantic layer design
  • Diverse modeling methodologies tailored for financial markets or portfolio analytics
  • Institutional investment datasets (e.g., security master, corporate actions, fundamental data, returns, or market data feeds from vendors like Bloomberg, FactSet, or MSCI)

Location

  • Hybrid

Work Type

  • Hybrid

Experience Level

  • 10+ years of data engineering experience
  • 3+ years of engineering management experience

Education Level

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or similar technical discipline

Benefits

  • Comprehensive benefits
  • Educational initiatives
  • Special celebrations of our history, culture, and growth

About the Company

  • Dimensional is a leading global investment firm offering systematic, value-added investment solutions based on robust science and thoughtful implementation.
  • Our global team includes more than 1,600 passionate people with diverse experiences, education, strengths, and talents.
  • With a learning mindset rooted in academia and powered by the great ideas in finance, we pursue what we believe are the strongest investment solutions, while providing a world-class client experience.
  • Every employee plays a role in delivering these experiences, and we know we can achieve the most when we work as a team to endeavor to help improve investors’ lives.
  • Dimensional Fund Advisors LP is an investment advisor registered with the Securities and Exchange Commission.
  • Dimensional sees great value from collaborating in our offices and appreciates the benefits of flexibility.
  • Most roles fit our office-first hybrid approach: We are together on our campuses Tuesdays, Wednesdays, and Thursdays and have the choice to work in the office or remotely, depending on what is best for that work day, on Mondays and Fridays.
  • This approach maximizes in-person collaboration and interaction while simultaneously providing flexibility and applies to most roles globally with a few exceptions that require more or less time in the office.
  • Please discuss with your Recruiter to confirm the details for this specific role.
  • Here at Dimensional, we strive to be an inclusive workplace for all.
  • Even if you do not match every qualification listed, if you are interested in who we are, what we do, and why we do it, we suggest and encourage you to apply.

Equal Opportunity

  • 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.