Manager, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors; Austin (TX); Presencial; USD 180.000 - 300.000; Jornada completa

Descripción de la vacante

Dimensional Fund Advisors in Austin, TX is seeking an experienced Investment Data Platform Engineer to lead the data platform that unifies multi-source investment data and powers client analytics across portfolios.

You will architect scalable, secure infrastructure, mentor engineers, and partner with product and technology leaders to deliver reliable data contracts, SLAs, and high-performance query capabilities.

Formación

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems, or similar technical discipline.
• 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), 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 modeling for financial markets or portfolio analytics.
• 3+ years of direct engineering management experience.
• Familiarity with institutional investment datasets (e.g., Bloomberg, FactSet, MSCI).
• This role is not eligible for immigration sponsorship.

Responsabilidades

• Lead the design, build, and evolution of a scalable data platform architecture for multi-source investment data.
• Architect data infrastructure to serve high-concurrency client tools and low-latency internal analytics.
• Implement robust data patterns, discovery tools, and optimized compute layers for ad hoc queries without degradation.
• Manage, mentor, and grow a team of investment engineers with hands-on system design and code reviews.
• Establish data quality frameworks, lineage tracking, and security controls across data products.
• Collaborate with downstream teams, product managers, and technology executives to define data contracts, SLAs, and roadmaps.

Conocimientos

Python

SQL tuning

Airflow

dbt

Kafka

APIs

Streaming architectures

Data warehousing

Semantic layer

Leadership

Educación

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Distributed Systems

Herramientas

Bloomberg

FactSet

MSCI

Descripción del empleo

Job Description:

Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data, which means managing data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional. 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 foundation of all Analytics Platforms products is the Data Platform and serves as the data and computational engine of this ecosystem. This team is responsible for architecting and operating the centralized data platform that powers downstream analytics applications, feeds client-facing digital products, and enables self-service, ad hoc 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.

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).

This role is not eligible for immigration sponsorship.

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.

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.