Senior Data Platform Engineer
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
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.
Benefits
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Work from anywhere for up to 8 weeks per year
- Career Development and Growth
- Industry Competitive Benefits
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to the Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Resources for mental, physical, and financial wellbeing
- Social Impact opportunities
- Two paid volunteer days off annually
- Market competitive health, dental, vision, disability, and life insurance programs
- Competitive 401k plan with company match
- Competitive vacation, sick and safe paid time off
- Paid holidays
- Parental leave
- Sabbatical leave
- 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
- Access to Employee Stock Purchase Plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
