Senior Data Platform Engineer

Acadian Asset Management LLC • Boston, MA

158d

About The Position

Building on a multi-decade history in quantitative equity, Acadian has expanded its reach into multi asset class, alternative equity, and systematic credit. The investment data engineering function will build a platform that will expand our data capabilities to operate at significant scale across a broad array of asset classes. We’re looking for a senior contributor to help design, build and support a data platform that will drive our investment process. Acadian supports a hybrid work environment, employees are on-site in the Boston office 3 days a week.

Requirements

• Bachelor’s degree in mathematics, science, or engineering with a strong academic record; CFA charter a plus.
• Background in the quantitative investing space, with knowledge of financial data and its associated challenges—including timeliness, quality, and integration across varied sources.
• Analytical, creative, and collaborative personal qualities, with the drive and humility to tackle complex problems and deliver results.

Nice To Haves

• Experience with Python (Polars, Pandas, NumPy), SQL.
• Familiarity with AWS (S3, EC2, ECS), Terraform, Kubernetes for automated, scalable deployments.
• Experience in REST API design and integration at scale.
• Knowledge of metrics, logging, distributed tracing for performance and reliability.
• Familiarity with data systems such as Apache Iceberg, Delta Lake, Spark, Databricks, PostgreSQL, DynamoDB, Redis.
• Experience with workflow orchestration tools like Dagster, Airflow.
• Understanding of data modeling, profiling, performance tuning, and full SDLC best practices.

Responsibilities

• Design & build a highly scalable, cloud-native data platform on AWS, leveraging diverse storage formats, high-performance compute, and containerized workloads.
• Develop & optimize pipelines to rapidly integrate new datasets and derived metrics with speed, reliability, and scalability.
• Architect & deploy scalable services by building REST APIs, containerizing workloads, and orchestrating deployments in Kubernetes for high availability and elasticity.
• Collaborate with portfolio managers and researchers to translate investment needs into technical specifications and data solutions that directly support the investment process.
• Design & build the business logic layer that transforms raw data into investment-ready insights, enabling researchers and portfolio managers to focus on alpha generation.
• Integrate with investment systems by participating in design reviews, promoting adoption, and ensuring smooth interoperability.
• Build domain expertise in investment data particularly in the quantitative investing space and address the unique challenges of working with financial data.
• Maintain mission-critical operations by managing daily production workflows and ensuring platform health with metrics, logging, and distributed tracing.
• Engineer for excellence by delivering well-tested, extensible, and high-quality solutions.

Benefits

• Flexible hybrid work environment.
• Strong benefits package.
• Casual but focused office culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees