# Staff Data Platform Engineer

**Company**: Noetica, part of Thomson Reuters
**Experience**: staff
**Job type**: full-time
**Salary**: $127,400 USD - $236,600 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-New-York-New-York/Staff-Data-Platform-Engineer_JREQ203915-7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c82435ba-ad2

## Description

Noetica, now part of Thomson Reuters, is seeking a Staff Data Platform Engineer to set the technical direction for its data infrastructure and lead the evolution of systems that process legal and financial document data at significant scale.

**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?**

- Flexibility & Work-Life Balance: Flex My Way policies, flexible work arrangements, and work-from-anywhere options.

- Career Development and Growth: continuous learning and skill development, Grow My Way programming, and skills-first approach.

- Industry Competitive Benefits: comprehensive benefit plans, flexible vacation, Mental Health Days off, access to Headspace app, retirement savings, tuition reimbursement, and employee incentive programs.

- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.

- Social Impact: Social Impact Institute, paid volunteer days off, and opportunities for pro-bono consulting projects and ESG initiatives.

- Making a Real-World Impact: helping customers pursue justice, truth, and transparency.

**Salary Range:** $127,400 USD - $236,600 USD

## Skills

### Required
- Python
- Java
- C++
- Rust
- Go
- big data technologies
- distributed databases
- data compliance
- privacy engineering

### Nice to have
- machine learning infrastructure
- feature stores
- AI workloads
- legal technology
- financial services

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Source: [Apply at thomsonreuters.wd5.myworkdayjobs.com](https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/United-States-of-America-New-York-New-York/Staff-Data-Platform-Engineer_JREQ203915-7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)