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# Staff Data Platform Engineer

- **Company:** Thomson Reuters Foundation Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C++ (Programming Language), Law Practice Management Software, Data Governance, Data Infrastructure, Data Security, Data Systems, Distributed Data Store, Distributed Systems, Document-Oriented Databases, Python (Programming Language), Machine Learning, Software Engineering, System Programming, Privacy Controls, Rust (Programming Language), Feature Store, Data Processing, Backend, Data Management
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_6d18fec77061327aaea062ea798f510d

## About the Role

* Ten or more years of software engineering experience, including at least six years focused on data platforms, infrastructure, or large-scale backend systems.
 * Demonstrated expertise architecting distributed systems, including high-throughput pipelines and petabyte-scale or similarly complex data processing environments.
 * Deep knowledge of big data technologies, distributed databases, and modern data platforms.
 * Strong systems programming skills in Python, Java, C++, Rust, or Go, with experience delivering production systems.
 * Expertise in data compliance, privacy engineering, and secure data handling in regulated environments.
 * Experience building and mentoring engineering teams and driving complex technical initiatives to completion.
 * Sound judgment in balancing engineering quality, delivery speed, cost, risk, and business impact., * Experience in a high-growth environment where platform infrastructure was critical to business success.
 * A record of leading major architectural transitions or platform migrations.
 * Published technical writing or public speaking on data systems, architecture, or engineering practices.
 * Experience with machine learning infrastructure, feature stores, or platforms that support AI workloads.
 * Background in legal technology, financial services, or another highly regulated industry.
 * Coding in Python #LI-MW1

## Description

* Own the technical roadmap for the data platform, balancing scalability, reliability, security, compliance, and business priorities.
 * Architect next-generation pipelines and storage systems for high-volume document data.
 * Lead decisions on technology selection, system design, and infrastructure strategy across the platform.
 * Advance data governance, privacy controls, compliance frameworks, and audit capabilities for regulated data.
 * Partner with machine learning and AI leaders to enable model training, evaluation, and inference at scale.
 * Establish technical standards, mentor engineers, and help build a high-performing platform organization.
 * Represent the platform function in company-wide architecture and engineering decisions.
 * Remain hands-on by owning critical systems and contributing code to solve complex technical challenges.