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# Data Platform Engineer

- **Company:** Huxley Associates
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Python (Programming Language), Standard Sql, Software Engineering, Enterprise Data Management, Cloud Platform System, Data Ingestion, System Availability, Snowflake, Infrastructure Automation Frameworks, Data Management, Terraform, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.huxley.com/en-gb/job/data-platform-engineer/4080329

## About the Role

* 6+ years of experience in Data Engineering, Data Platform Engineering, or Software Engineering.
 * Deep expertise with Snowflake and enterprise data warehousing platforms.
 * Strong SQL, data modeling, and Python development experience.
 * Experience with Infrastructure-as-Code tools such as Terraform and CI/CD pipelines.
 * Hands-on experience with workflow orchestration tools (e.g., Airflow).
 * Familiarity with dbt and modern data architecture best practices.
 * Knowledge of data governance
 * Experience working within AWS cloud environments.

## Description

Join a high-performing investment-focused organization as a Associate on the Data Products team. This role is responsible for owning and enhancing data products that support critical business functions across finance, operations, and investment teams. You'll work within a modern cloud data environment and build scalable data solutions., * Own end-to-end data ingestion, modeling, and delivery for business-critical datasets.

 * Design, build, and maintain scalable data pipelines and data products.
 * Develop and enforce data quality, lineage, certification, and governance frameworks.
 * Manage platform reliability, monitoring, alerting, and incident resolution.
 * Administer cloud data platform infrastructure, security, access controls, and cost optimization.
 * Implement Infrastructure-as-Code and CI/CD processes for data platforms.