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Thomson Reuters

Staff Data Platform Engineer

Thomson Reuters

. Own the technical roadmap for the data platform .

Posted 9/24/2026full-timeNew York City • New York • United StatesLead💰 $146,800 - $272,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting distributed systems and managing data platforms, with a strong focus on compliance, security, and scalability. Proven ability to lead engineering teams and drive complex technical initiatives while balancing quality and business impact.

Highest-signal resume keywords
Data Platform ArchitectureDistributed Systems DesignBig Data TechnologiesSystems Programming in PythonData Compliance and Privacy Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringData Platform DevelopmentHigh-Throughput Pipeline ArchitectureDistributed Database ManagementProduction System DeliveryTechnical Standards EstablishmentMachine Learning InfrastructureFeature Store DevelopmentTechnical WritingPublic Speaking
Soft Skills
Mentoring EngineersSound JudgmentCollaborationLeadership
Tools & Technologies
PythonJavaC++RustGo
Industry Keywords
Data GovernancePrivacy ControlsCompliance FrameworksAudit CapabilitiesRegulated EnvironmentsLegal TechnologyFinancial Services

Tech Stack

Tools & technologies
Distributed SystemsJavaPythonRustC++Go

About the role

Key responsibilities & impact
  • Own the technical roadmap for the data platform
  • Balance scalability, reliability, security, compliance, and business priorities
  • Architect next-generation pipelines and storage systems for high-volume document data
  • Lead technology selection, system design, and infrastructure strategy decisions
  • Advance data governance, privacy controls, compliance frameworks, and audit capabilities
  • Partner with machine learning and AI leaders on model training, evaluation, and inference at scale
  • Establish technical standards and mentor engineers
  • Help build a high-performing platform organization
  • Represent the platform function in company-wide architecture and engineering decisions
  • Own critical systems and contribute code to solve complex technical challenges

Requirements

What you’ll need
  • Ten or more years of software engineering experience, including at least six years focused on data platforms, infrastructure, or large-scale backend systems
  • 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 balancing engineering quality, delivery speed, cost, risk, and business impact
  • Preferred: experience in a high-growth environment where platform infrastructure was critical to business success
  • Preferred: record of leading major architectural transitions or platform migrations
  • Preferred: published technical writing or public speaking on data systems, architecture, or engineering practices
  • Preferred: experience with machine learning infrastructure, feature stores, or platforms supporting AI workloads
  • Preferred: background in legal technology, financial services, or another highly regulated industry
  • Coding in Python

Benefits

Comp & perks
  • Flexible hybrid working environment
  • Work from anywhere for up to 8 weeks per year
  • Flexible work arrangements and work-life balance policies
  • Continuous learning and skill development
  • Grow My Way programming and skills-first development
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Headspace app access
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Mental, physical, and financial wellbeing resources
  • Two paid volunteer days off annually
  • Pro-bono consulting projects and ESG initiatives
  • Health, dental, vision, disability, and life insurance
  • 401(k) plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays, including two company mental health days
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident, and sickness insurance
  • Optional life and AD&D insurance
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group Legal Identity Theft Protection benefit
  • 529 Plan access
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Employee Stock Purchase Plan
  • Potential eligibility for an Annual Bonus based on enterprise and individual performance