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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer - **Company:** Reuters America LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $136,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computing Platforms, Audit Trail, Microsoft Azure, Big Data, C++ (Programming Language), Law Practice Management Software, Cloud Computing, Databases, Data Governance, Data Infrastructure, Data Security, Data Warehousing, Document Management Systems, Distributed Systems, Document-Oriented Databases, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Query Optimization, Standard Sql, Software Engineering, System Programming, Transaction Data, Privacy Controls, Google Cloud, Feature Engineering, Snowflake, Apache Spark, Backend, Database Migration, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka, Data Management, Machine Learning Operations, Video Streaming, Restful APIs, Stream Processing, Data Pipelines - **Published:** September 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18450273?backUrl=%2Fcareer%2F18450273%2FSenior-Data-Platform-Engineer-New-York-New-York ## About the Role * 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 ## Description 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)