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Staff Data Platform Engineer

Reads like a Data Leadership role: running a data team.

United States of America, New York, New York

Live, first seen by us 40 days ago
Pay
USD 127,400–236,600/year · BaseAnnual period assumed. Location-specific pay. Includes equity — pay source
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.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 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.
 This job posting will close 01/31/2027.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Own the technical roadmap for the data platform

  • Architect pipelines and storage for high-volume document data

  • Advance data governance, privacy controls, and audit capabilities

  • Partner with ML and AI leaders on model training, evaluation, and inference at scale

  • Mentor engineers and set technical standards

From the employer’s posting
Own the technical roadmap for the data platform
Architect next-generation pipelines and storage systems for high-volume document data.
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.

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.

Preferred experience

  • Experience in a high-growth environment where platform infrastructure was critical to business success.
  • Experience with machine learning infrastructure, feature stores, or platforms that support AI workloads.
Qualification wording
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.
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.
Experience in a high-growth environment where platform infrastructure was critical to business success.
Experience with machine learning infrastructure, feature stores, or platforms that support AI workloads.

About Thomson Reuters

We serve professionals across legal, tax, accounting, compliance, government, and media.

In the employer’s words · Read in context

Apply at Thomson Reuters

Posting record

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Status in our records
Live
First seen by us
Sep 25, 202640 days ago
Recorded sightings
116
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 40

Similar jobs usually come down between day 7 and day 53.

From 7,814 similar postings that came down. Coming down is not always a hire.

Thomson Reuters is hiring

20 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Rust
  • C++
  • Go
Where the posting names them
- 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.
- Background in legal technology, financial services, or another highly regulated industry. - Coding in Python #LI-MW1

Your next step

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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?

  • 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.

For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 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.


This job posting will close 01/31/2027.

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.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. 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

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