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 #LI-MW1 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 professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $146,800 USD - $272,600 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com

Requirements

Must-haves

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.
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.
What’s in it For You?

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjavarustgo

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave