Staff Data Platform Engineer

Thomson Reuters; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid Work Model

Mental Health Days

Tuition Reimbursement

Job summary

Thomson Reuters Noetica is seeking a Staff Data Platform Engineer to direct the data infrastructure strategy, architect high-volume document pipelines, and guide a team toward reliable, compliant systems that enable rapid AI innovation.

You will own critical platforms, push for scalable storage, govern data privacy, and collaborate with ML leaders to train, evaluate, and deploy models at scale, while delivering production-grade solutions.

Qualifications

• 10+ years in software engineering with 6+ years in data platforms or large-scale backend systems.
• Experience architecting distributed systems and petabyte-scale data processing.
• Deep knowledge of big data technologies, distributed databases, and modern data platforms.
• Programming experience in Python, Java, C++, Rust, or Go with production systems.
• Experience in data compliance, privacy engineering, and secure data handling in regulated environments.
• Experience building and mentoring engineering teams and driving complex initiatives to completion.
• Sound judgment balancing engineering quality, delivery speed, cost, risk, and impact.

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 ML/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 platform engineering

Data privacy

Leadership / mentorship

Architecture decisions

Programming languages

Production systems

Tools

Python

Job description

Job Description Noetica is an AI-native legal technology company, now part of Thomson Reuters, that transforms complex corporate transaction data into structured, searchable market intelligence. Its platform helps legal and finance professionals analyze deal terms, identify market trends, and assess risk with greater speed and confidence. As a Staff Data Platform Engineer, you will set the technical direction for Noetica's data infrastructure and lead the evolution of systems that process legal and financial document data at significant scale. This hands-on technical leadership role combines architecture, implementation, cross-functional influence, and team development to ensure the platform supports rapid AI innovation while meeting demanding reliability, security, and compliance standards.

Key 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.

Required 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.
• Sound judgment in balancing engineering quality, delivery speed, cost, risk, and business impact.

Preferred Qualifications

• 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

What's in it For You?

• Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the prof