Senior Data Platform Engineer: Scale, Secure & Govern Data

Reuters; New York (NY); Hybrid; USD 136,000 - 253,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits package

Professional development & training

Volunteer days & ESG initiatives

Job summary

Refinitiv is seeking a Senior Data Platform Engineer to design, build, and maintain the infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial documents. You will work across backend services, data pipelines, databases, and cloud platforms to ensure scalability, reliability, and security.

You will mentor engineers, lead architecture decisions, and collaborate with ML teams to support model training and inference at scale, while upholding privacy and

Qualifications

• Seven+ years of software eng. experience, incl. 4+ years on data platforms or backend infra.
• Distributed systems and large-scale data tech (Hadoop, Spark, Snowflake).
• Proficiency in Python, Java, C++, or Go; experience designing scalable APIs.
• Strong SQL and NoSQL knowledge; data modeling & query optimization.

Responsibilities

• Design and optimize pipelines to ingest, transform, and distribute large-scale document data.
• Build/maintain backend services for storage, retrieval, and processing.

Skills

Distributed systems

Data warehousing

Hadoop

Spark

Snowflake

Python

Java

C++

Go

SQL

NoSQL

AWS

GCP

Azure

Infrastructure as code

Data governance

Regulatory compliance

API design

Tools

Kafka

Flink

Job description

Refinitiv is seeking a Senior Data Platform Engineer to design, build, and maintain the infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial documents. You will work across backend services, data pipelines, databases, and cloud platforms to ensure scalability, reliability, and security.

You will mentor engineers, lead architecture decisions, and collaborate with ML teams to support model training and inference at scale, while upholding privacy and