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