Trexquant

Senior Data Architect (USA)

Stamford, Connecticut, United States · Senior

Sponsorship not specified$175k-$200kDetected 85 days ago

PythonSQLNoSQLAWSGCPAzureDevOpsSparkData EngineeringResearchCommunicationCollaboration

About the role

The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options.
Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.
Prototype and deploy internal data applications that enhance research productivity and data transparency.

Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem.
Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers.
Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows.
Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing.
Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs.
Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.
Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.
Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts.

7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment.
Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems).
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.

Competitive salary plus bonus based on individual and company performance.
PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
Pre-tax commuter benefits.
The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background.
Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus.

This listing is sourced directly from Trexquant's careers page and normalized into a canonical job model.