Senior Data Platform Engineer

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $151 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.

What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose : delivering effective client outcomes and supporting one another in work that's both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian.

Position Overview :

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.

What You'll Do :

• 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.

We're Looking for Teammates With :

o Programming & data : Python (Polars, Pandas, NumPy), SQL

o Cloud & infrastructure : AWS (S3, EC2, ECS), Terraform, Kubernetes for automated, scalable deployments

o Services : REST API design and integration at scale

o Observability : Metrics, logging, distributed tracing for performance and reliability

o Data systems : Apache Iceberg, Delta Lake, Spark, Databricks, PostgreSQL, DynamoDB, Redis

o Workflow orchestration : Dagster, Airflow

o Engineering : Data modeling, profiling, performance tuning, and full SDLC best practices

To apply for this position or view Acadian's open roles, please visit the Careers section of our website at : We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com.

Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.