# Senior Data Architect (USA)

**Company:** [Trexquant](https://hotfix.jobs/companies/trexquant)
**Location:** Stamford, CT, New York, NY
**Role:** Data Engineering
**Salary:** $175k – $200k/yr
**Experience:** 7+ years
**Skills:** Python, Parquet, Apache Arrow, Spark, SQL, NoSQL, AWS, GCP, Azure, Time-Series Databases
**Posted:** 2026-04-28

> Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.

## Job Description

## Responsibilities
- 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.
- Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.
- Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.
- Prototype and deploy internal data applications that enhance research productivity and data transparency.
- Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.

## Requirements
- 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment.
- Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes).
- Strong proficiency in **Python** and familiarity with modern data stack technologies (e.g., **Parquet**, **Arrow**, **Spark**, **SQL/NoSQL**, distributed file systems).
- Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies.
- Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts.
- Ability to translate research needs into efficient data schemas and access patterns.
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field.
- Strong collaboration, communication, and documentation skills.

## Nice-to-Haves
- Familiarity with cloud-based architectures (e.g., **AWS**, **GCP**, **Azure**) and modern data governance practices.

## Compensation & Benefits
- Base salary range: **$175,000 - $200,000** depending on candidate’s background.
- Bonus based on individual and company performance.
- PPO health, dental, and vision insurance premiums fully covered.
- Pre-tax commuter benefits.
- Weekly company meals.

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