Senior Data Engineer

Durlston Partners; New York (NY); On-site; USD 419,000 - 512,000; Full time

Job summary

Durlston Partners LLP in New York is seeking a Senior/Lead Data Engineer to own the investment data platform and drive technical delivery. The role blends hands-on engineering with architecture, shaping data sourcing, integration, and usability across the investment business.

You will define the platform's direction, build pipelines, and model data to support investment workflows while improving quality and reliability. A strong communicator will collaborate with stakeholders daily.

Qualifications

• Extensive experience building data pipelines and data platforms.
• Designing data models and integrating data from multiple sources.
• Experience with financial or market data and external vendors.
• Ability to own technical decisions and roadmap while delivering.

Responsibilities

• Own the data platform's technical direction and roadmap.
• Design and build pipelines to ingest data from vendors and internal sources.
• Develop architectures and data models for consolidated datasets.
• Evaluate new data sources and determine integration approaches.
• Collaborate with stakeholders to meet data requirements for investment workflows.
• Improve data quality with validation and monitoring processes.
• Establish repeatable engineering practices and guide team growth.
• Balance architecture decisions with day-to-day delivery.

Skills

Data pipelines

Data modeling

Financial data

Stakeholder comms

Architecture

Job description

Senior/Lead Data Engineer - Global Fund - Up to $465k TC - New York

A global fund is looking to hire a Senior/Lead Data Engineer to take ownership of its investment data platform.

This is a hands-on opportunity for someone who enjoys combining technical delivery with broader responsibility for architecture and direction. You’ll help define and build the platform, improving how financial and market data is sourced, integrated and made available across the investment business.

The role

• Own the technical direction and roadmap for the data platform, translating business needs into engineering priorities.
• Design and build pipelines to ingest and integrate data from external vendors and internal sources.
• Develop the architecture and data models that bring multiple datasets together into consistent, usable structures.
• Evaluate new data sources and determine how they should be incorporated into the platform.
• Work with stakeholders to understand their data requirements and deliver solutions that support investment workflows.
• Improve data quality and reliability through validation, monitoring and clear processes for resolving issues.
• Establish repeatable engineering practices and help shape the team as the platform develops.
• Stay hands-on, balancing longer-term architecture decisions with day-to-day delivery.

What we’re looking for

• Strong hands-on experience building data pipelines and platforms.
• Experience designing data models and integrating data from multiple sources.
• Experience working with financial or market data, ideally including external vendor datasets.
• The ability to own technical decisions and a roadmap while remaining close to implementation.
• A thoughtful approach to data quality, reliability and maintainability.
• Strong communication skills and confidence working directly with stakeholders.

Location and compensation

• New York with 3–5 days per week in the office.
• Up to $465,000 TC