Senior Data Implementation 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 $170 billion on behalf of leading institutions worldwideincluding 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. Were united by a shared purpose: delivering effective client outcomes and supporting one another in work thats both challenging and rewarding. We offer a flexible hybrid work environment strong benefits and a casual but focused office cultureall designed to support the meaningful collaborative work that defines Acadian.

Position Overview:

Were looking for a Senior Data Implementation Engineer to help lead and accelerate Acadians data transformation efforts. This role is central to reimagining and rebuilding our data platform so that we can continue to scale our investment research production data workflows and operational capabilities in a rapidly evolving landscape.

Youll be hands-on in designing and implementing modern data pipelines and platform capabilities using tools such as Apache Arrow Polars Dagster and other emerging technologies. Youll also help shape how we use AI-assisted development tools such as Claude & ChatGPT and related automation approaches to improve the speed quality and maintainability of data pipeline development.

This is a senior engineering role for someone who can operate across both strategy and execution: deeply understanding existing systems designing pragmatic transition paths mentoring others and building reliable scalable high-performance data infrastructure that directly supports Acadians quantitative investment process.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What Youll Do

• Lead Data Pipeline Design and Implementation
  • Design build and optimize robust data pipelines that are reliable scalable observable and performant. Use modern data engineering tools and patterns to support investment research production workflows and downstream analytics.
• Drive System Modernization
  • Deeply understand existing data systems identify architectural limitations and lead the transition toward more modern maintainable and efficient data architectures.
• Shape Technical Direction
  • Partner with Data Platform Engineering Data Analysis and investment teams to define implementation patterns pipeline standards and architectural approaches that can scale across the organization.
• Apply AI Tooling to Engineering Workflows
  • Use AI-assisted development tools such as Claude ChatGPT or similar technologies to accelerate pipeline development automate repetitive workflows improve documentation generate tests and enhance developer productivity.
• Mentor and Lead Others
  • Provide technical guidance to junior and mid-level engineers. Help raise the engineering bar through code reviews design discussions pairing documentation and thoughtful mentorship. Lead small project teams or workstreams when needed.
• Improve Reliability and Operational Excellence
  • Develop systems with strong testing monitoring lineage data quality checks and operational supportability. Help ensure that data pipelines are resilient transparent and easy to maintain.
• Collaborate Across Teams
  • Work closely with stakeholders across technology data research and investment teams to understand requirements resolve ambiguity and deliver solutions that create measurable business value.
• Continuously Improve the Platform
  • Identify opportunities to simplify automate and improve the data ecosystem. Champion practical innovation while balancing speed stability maintainability and long-term architectural quality.

Were Looking for Teammates With

• Bachelors degree in a relevant field

• A strong background in data engineering data platform implementation or data-intensive software engineering ideally with 5 years of experience in a financial investment or technology-driven environment.
• Deep experience building production-grade data pipelines including ingestion transformation validation orchestration monitoring and deployment.
• Strong Python programming skills with relevant experience working with Dagster Airflow or similar technologies.
• Experience with modern data architecture patterns such as data lakehouse Medallion architecture composable data systems microservices and event-driven or workflow-oriented architectures.
• Familiarity with Data Mesh concepts including decentralized data ownership domain-oriented data products governance and discoverability.
• Experience with orchestration workflow and data transformation tools such as dbt Polars Pandas Apache Arrow or comparable technologies.
• Practical experience using AI-assisted development tools such as Claude ChatGPT GitHub Copilot or similar platforms to support data pipeline development automation testing documentation and engineering productivity.
• Demonstrated ability to mentor engineers lead technical workstreams and influence engineering practices across a team.
• A strong sense of ownership and the ability to operate effectively in ambiguous environments balancing tactical delivery with long-term architectural thinking.
• A passion for building systems that are efficient scalable reliable observable and easy for others to use.
• An understanding of how data infrastructure supports the broader investment process and a desire to deliver solutions that improve outcomes for clients and create meaningful business impact.

The base salary range for this role is $175000 $200000per year. Actual compensation will be determined based on a candidates skills qualifications and relevant addition to base pay this position may be eligible for discretionary incentive compensationand includes participation in Acadians comprehensive benefits program which includes health retirement and wellness offerings.

To apply for this position or view Acadians 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

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.