Senior Data Platform Engineer (Teradyne, Costa Rica)

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Opportunity Overview

As a Senior Data Platform Engineer at Teradyne, you will build and operate the modern data platform that our data engineering, governance, analytics, and AI teams depend on. Reporting to the Enterprise Data Platform Engineering Manager within the Enterprise Architecture and Data organization, your mission is to keep the platform running optimally—secure, reliable, cost-efficient, and easy to adapt so that Teradyne teams can deliver trusted, AI-ready data at scale. This is a platform enablement role focused on operating and optimizing the platform rather than delivering data solutions on it.

This is a deeply technical role centered on the administrative, operational, and FinOps controls that keep the platform running optimally. You will own cost management and optimization for the platform’s applications and systems, and you will lead and build the proactive monitoring and alerting capabilities that keep it healthy. You will operate a multicloud environment with Microsoft Azure as the primary platform and Google Cloud and AWS as secondary. A core goal of platform engineering is to onboard teams through defined playbooks that maximize self-service. You will administer the platform’s core services, including the Microsoft Fabric ecosystem, Snowflake (cloud data warehouse, analytics, and AI), Informatica (data governance, data quality, and application integration), and Semarchy (master data management)—as managed, well-governed capabilities.

Key Responsibilities:

• Administering and operating a secure, reliable multicloud data platform, primarily on Microsoft Azure, with Google Cloud and AWS as secondary platforms.

• Managing core data platform services such as Microsoft Fabric, Snowflake, Informatica, and Semarchy.

• Leading FinOps and cost optimization efforts, including cost visibility, budgeting, forecasting, and efficiency improvements.

• Building proactive monitoring, alerting, observability, and incident response processes to improve platform reliability.

• Creating onboarding playbooks, self-service capabilities, templates, guardrails, and documentation to help teams adopt the platform efficiently.