Principal Cloud Data Engineer North Reading, MA)

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Date: Aug 25, 2026

Location: North Reading, MA, US

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.

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.

As a Senior Cloud Data Engineer at Teradyne, you will engineer the data solutions that power our enterprise AI implementations. Reporting to the Enterprise AI/Data Product Manager, your primary mission is to design, build, and operate the pipelines, models, and integration frameworks that turn Teradyne’s operational and product data into trusted, governed, and AI-ready data products—the foundation on which our AI solutions are built and scaled.

This is a deeply technical, delivery-focused role centered on enabling AI outcomes. You will build multi-cloud data solutions with Microsoft Azure as our primary platform. You will engineer the ingestion, transformation, and serving layers that ground our AI platforms—including Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, and Snowflake Cortex AI—in high-quality proprietary data, while leveraging Informatica for data governance, data quality, and application integration, and Semarchy for master data management.

Your work directly enables business, operations, and product engineering teams to unlock insights through modern AI tooling.

Engineer end-to-end data solutions that directly drive AI insights and implementations, translating product requirements into scalable, production-grade data pipelines and data products.

Build the ingestion, transformation, and serving layers that ground enterprise AI platforms—Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, and Snowflake Cortex AI—in trusted proprietary data.

Develop embedding, vector, and retrieval pipelines that power RAG workflows and enable AI agents and applications to reason over enterprise data.

Enable insights through AI tooling by delivering curated, well-modeled datasets and semantic layers that fuel analytics, copilots, and AI-driven decision support.

Business Outcome: Accelerate delivery of AI solutions by ensuring high-quality, AI-ready data is available, discoverable, and trusted across the enterprise.

Design, build, and optimize multicloud data solutions with Microsoft Azure as the primary platform, with an eye toward Google Cloud and AWS, applying consistent patterns across providers.

Put strong emphasis on the Microsoft Fabric ecosystem to unify data engineering and analytics workloads complimented with Snowflake.

Design, develop, and maintain scalable ELT/ETL pipelines that ingest and transform data from APIs, databases, files, SaaS applications, and streaming sources.

Implement modern lakehouse and medallion (bronze/silver/gold) architectures, and tune compute, storage, and access controls to balance performance, security, and cost.

Business Outcome: Provide a scalable, cost-efficient, and resilient multicloud data platform that supports enterprise AI, analytics, and…