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Senior Data Platform Engineer

Thomson Reuters

Skills

Required

  • Python / Java / C++ / Go
  • SQL
  • NoSQL databases
  • data modeling
  • query optimization
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • infrastructure-as-code practices
  • distributed systems
  • data warehousing
  • Hadoop / Spark / Snowflake
  • software engineering
  • Kafka / Flink

Preferred

  • legal technology
  • machine learning pipelines
  • feature engineering platforms
  • data governance
  • privacy controls
  • audit trails
  • GDPR

Join our team as a Senior Data Platform Engineer, where you will design, build, and maintain the infrastructure for processing and serving large volumes of legal and financial document data. You will work across various backend services, data pipelines, databases, and cloud infrastructure to ensure scalability, reliability, security, and compliance. Your responsibilities will include optimizing data pipelines, building high-performance backend services, implementing data governance and compliance measures, leading database migrations, and mentoring engineers.

Responsibilities

  • Design, build, and maintain the infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial document data.
  • 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.

Requirements

  • 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
  • Strong experience with distributed systems, data warehousing, or large-scale data technologies such as Hadoop, Spark, or Snowflake
  • Seven or more years of software engineering experience, including at least four years focused on data platforms, backend infrastructure, or related systems
  • Experience with data compliance, privacy regulations, or secure data handling
  • Proficiency in at least one systems programming language, such as Python, Java, C++, or Go, and experience designing scalable APIs
  • A record of leading cross-functional initiatives and mentoring engineers
  • Experience with real-time data processing and streaming technologies such as Kafka or Flink
  • Coding in Python

Preferred

  • Experience in legal technology, financial services, or another highly regulated industry
  • Familiarity with machine learning pipelines and feature engineering platforms

Pay

USD 136,000 - 253,000

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