Staff Data Platform Engineer: Scale, Governance & Impact

Thomson Reuters Foundation; New York (NY); Hybrid; USD 147,000 - 273,000; Full time

Benefits offered by this job

Mental Health Days

Headspace app

Retirement savings

Tuition reimbursement

Employee incentive programs

Job summary

Noetica, an AI-native legal tech company now part of Thomson Reuters, is seeking a Staff Data Platform Engineer to set the technical direction for its data infrastructure and lead the evolution of systems that process legal and financial document data at scale. This hands‑on leadership role combines architecture, implementation, cross‑functional influence, and team development.

You will own the technical roadmap for the data platform, architect high‑volume pipelines and storage, mentor

Qualifications

• Ten or more years of software engineering experience with data platforms or large‑scale backends.
• Expertise architecting distributed systems and high‑throughput pipelines.
• Strong knowledge of big data technologies and modern data platforms.
• Proficient in Python, Java, C++, Rust or Go with production experience.
• Experience with data compliance and secure data handling in regulated environments.
• Ability to lead and mentor engineering teams through complex initiatives.

Responsibilities

• Own the technical roadmap for the data platform, balancing scalability and security.
• Architect next‑generation pipelines and storage for petabyte‑scale data.
• Lead technology decisions across platform design and infrastructure strategy.
• Advance governance, privacy controls, and compliance frameworks.
• Partner with ML/AI leaders to enable model training and inference at scale.
• Establish standards, mentor engineers, and drive high‑performing teams.

Skills

Distributed systems

Big data

Python

Java

C++

Rust

Go

Data privacy

Mentoring

Leadership

Job description

Noetica, an AI-native legal tech company now part of Thomson Reuters, is seeking a Staff Data Platform Engineer to set the technical direction for its data infrastructure and lead the evolution of systems that process legal and financial document data at scale. This hands‑on leadership role combines architecture, implementation, cross‑functional influence, and team development.

You will own the technical roadmap for the data platform, architect high‑volume pipelines and storage, mentor