Senior Data Platform Engineer

Fynetra; Boston (MA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Fynetra in Boston is seeking a Senior Engineer focused on building and scaling a modern data platform to support multi-asset investment processes. In this hands-on role, you will design and operate core data infrastructure and collaborate with various teams to handle large datasets efficiently.

The ideal candidate will have strong software and data platform engineering experience, advanced Python and SQL skills, and familiarity with cloud infrastructures. This position offers a hybrid working environment within a high-performing, engineering-driven culture.

Qualifications

• Senior-level experience building and supporting data platforms.
• Strong analytical and platform development skills.
• Clear communication skills with strong analytical judgment.

Responsibilities

• Design and build a scalable investment data platform.
• Develop frameworks to onboard new datasets.
• Ensure data quality and operational robustness.

Skills

Software engineering

Data platform engineering

Python

SQL

Data modeling

Cloud infrastructure

Data storage patterns

Education

Degree in a technical or quantitative discipline

Tools

Containerized environments

Modern data platforms

Orchestration tools

Job description

This is a senior, hands‑on engineering role focused on building and scaling a modern data platform that supports a systematic, multi‑asset investment process.

You’ll help design and operate the core data infrastructure used across research, portfolio management, and trading — enabling teams to work with large, complex datasets at scale. The role combines platform engineering, data modeling, and production support, with a strong emphasis on reliability and extensibility.

This is a good fit for someone who enjoys building foundational systems that others depend on every day.

What You’ll Be Working On

• Designing and building a scalable investment data platform
• Developing frameworks and patterns to onboard new datasets and metrics
• Ensuring data quality, validation, and operational robustness
• Supporting daily production jobs tied to the investment process
• Collaborating with data, research, and technology teams on platform evolution
• Participating in design reviews to ensure clean integration with downstream systems
• Building well‑tested, maintainable, and extensible solutions

What They’re Looking For

• Strong experience in software and data platform engineering
• Advanced Python skills for analytical and platform development
• Strong SQL and data modeling capabilities
• Deep understanding of different data storage patterns and trade‑offs
• Hands‑on experience with cloud infrastructure and containerised environments
• Familiarity with modern data platforms, databases, and orchestration tools
• Clear communicator with strong analytical judgment

Background

• Degree in a technical or quantitative discipline
• Senior‑level experience building and supporting data platforms
• Track record of owning systems in production environments

Why This Role

• Data platforms are central to the investment process
• Opportunity to influence architecture and platform standards
• Close alignment with research and portfolio teams
• Hybrid working with a high‑performing, engineering‑led culture