Senior Data Platform Engineer

About the role

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 Senior Data Platform Engineer, you will design, build, and maintain the infrastructure that ingests, processes, stores, and serves large volumes of legal and financial document data. You will work across backend services, data pipelines, databases, and cloud infrastructure to ensure the platform remains scalable, reliable, secure, and compliant.

Key Responsibilities

• Design and optimize pipelines that ingest, transform, and distribute large-scale document data.
• Build and maintain reliable, high-performance backend services for document storage, retrieval, and processing.
• Implement data governance, privacy controls, audit trails, and regulatory compliance requirements, including GDPR.
• Lead database migrations and improve schema design, query performance, and data scalability.
• Partner with machine learning and AI teams to support model training and inference at scale.
• Mentor engineers on platform architecture, engineering practices, and system design.

Required Qualifications

• Seven or more years of software engineering experience, including at least four years focused on data platforms, backend infrastructure, or related systems.
• Strong experience with distributed systems, data warehousing, or large-scale data technologies such as Hadoop, Spark, or Snowflake.
• Proficiency in at least one systems programming language, such as Python, Java, C++, or Go, and experience designing scalable APIs.
• Strong knowledge of SQL and NoSQL databases, data modeling, and query optimization.
• Experience with AWS, Google Cloud Platform, or Microsoft Azure and infrastructure-as-code practices.
• Experience with data compliance, privacy regulations, or secure data handling.

Preferred Qualifications

• Experience in legal technology, financial services, or another highly regulated industry.
• A record of leading cross-functional initiatives and mentoring engineers.
• Experience with real-time data processing and streaming technologies such as Kafka or Flink.
• Familiarity with machine learning pipelines and feature engineering platforms.
• 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 $136,000 USD - $253,000 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.