Senior Data Platform Engineer - Scale & Governance

Thomson Reuters; United States; Remote; USD 127,000 - 237,000; Full time

Benefits offered by this job

Flexibility policy (Flex My Way)

Mental Health Days

Headspace access

Tuition reimbursement

Employee Stock Purchase Plan

Job summary

Noetica, an AI-native legal tech company now part of Thomson Reuters, seeks a Staff Data Platform Engineer to set the technical direction for data infrastructure and lead scalable systems for legal/financial document data. You will bridge architecture, implementation, and cross-functional collaboration to enable rapid AI innovation while ensuring reliability, security, and compliance.

You will own the roadmap, guide technology choices, mentor engineers, and contribute hands-on to key systems,

Qualifications

• 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.

Responsibilities

• 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.

Skills

Distributed systems

Data platforms

Big data technologies

Python

Java

C++

Rust

Go

Data governance

Mentoring teams

Architecture leadership

Tools

Python

Java

C++

Rust

Go

Job description

Noetica, an AI-native legal tech company now part of Thomson Reuters, seeks a Staff Data Platform Engineer to set the technical direction for data infrastructure and lead scalable systems for legal/financial document data. You will bridge architecture, implementation, and cross-functional collaboration to enable rapid AI innovation while ensuring reliability, security, and compliance.

You will own the roadmap, guide technology choices, mentor engineers, and contribute hands-on to key systems,