Principal Cloud Data Engineer
North Reading, MA$179.7k - $287.5kfull-timePosted 4w ago
About the role
Senior Cloud Data Engineer focused on engineering multicloud data platforms and AI-ready data products for Teradyne, with emphasis on Azure and related AI tooling, data governance, and scalable data pipelines.
Responsibilities
- 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.
- Design, build, and optimize multicloud data solutions with Microsoft Azure as the primary platform, with an eye toward Google Cloud and AWS.
- 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 architectures, and tune compute, storage, and access controls to balance performance, security, and cost.
- Leverage Informatica and Fabric IQ to unify data catalog, data lineage data quality, and application integration.
- Advise on design and maintenance of Semarchy-based master data management solutions.
- Apply secure by default access controls, data classification, and compliance safeguards for AI/analytics data.
- Build automated testing, monitoring, and observability for pipeline health, data freshness, quality, and cost.
- Partner with Enterprise Architecture, product engineering, business, and operations to shape the data roadmap for AI products.
- Establish reusable data engineering patterns, frameworks, and standards; mentor engineers on multicloud and AI-enablement practices.
- Evaluate emerging tools and technologies to keep Teradyne’s data platform modern and interoperable.
Qualifications
- 8–10 years of experience in data engineering, with the last 2–3 years focused on modern cloud data engineering projects that enable AI products and analytics (cloud data warehouse/lakehouse, ELT, and pipeline automation).
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Strong proficiency in SQL and Python for data engineering and pipeline development.
- Multicloud data engineering experience with Microsoft Azure as primary.
- Strong hands-on experience with the Microsoft Fabric ecosystem.
- Experience engineering data solutions that enable AI products and insights through AI tooling (e.g., RAG/embedding pipelines, semantic layers) and integration with platforms such as Azure AI Foundry, Google Vertex AI, and Snowflake Cortex AI.
- Strong proficiency in AI tooling such as Anthropic Claude or Microsoft CoPilot suite.
- Hands-on experience with data governance, data quality, and application integration with Informatica.
- Experience with Semarchy (or comparable) for master data management.
- Experience with lakehouse/medallion and dimensional data modeling, plus CI/CD for data (Azure DevOps or GitHub Actions), testing, and observability.
- Proven ability to mentor and upskill teams; strong collaboration and communication skills across technical, product, and business teams.
- Analytical mindset with a focus on delivering measurable business and AI outcomes.
Skills
Required:SQLPythonMulticloud data engineeringAzure ecosystemInformaticaSemarchy MDmData governance
Benefits
- Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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