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Alajuela, CR
Live, first seen by us 75 days ago*This position is not eligible for visa sponsorship or Relocation assistance
Administer and operate a secure, reliable multicloud data platform, mainly Azure
Manage Microsoft Fabric, Snowflake, Informatica and Semarchy as governed services
Lead FinOps and cost optimization, including budgeting and forecasting
Build proactive monitoring, alerting, and incident response processes
Create onboarding playbooks, self-service tools and documentation for teams
Administering and operating a secure, reliable multicloud data platform, primarily on Microsoft Azure
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.
Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
7 years of experience in:
SQL and Python for automation, administration, and platform operations.
Proven ability to mentor and upskill teams, fostering a culture of innovation and learning.
Proven experience leading and building proactive monitoring, alerting, and observability (SLAs/SLOs, dashboards, incident response).
Experience partnering with engineering teams to define and enforce CI/CD and production migration/promotion processes across environments.
- Minimum Qualifications - Bachelor’s degree in computer science, Information Systems, Engineering, or a related field. - English Proficiency
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- Data platform engineering, cloud platform engineering, or platform administration, with recent hands-on experience building and operating modern cloud data platforms. - SQL and Python for automation, administration, and platform operations. - Multicloud administration experience, with Microsoft Azure as primary and Google Cloud and AWS as secondary.
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:
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.
- SQL and Python for automation, administration, and platform operations. - Multicloud administration experience, with Microsoft Azure as primary and Google Cloud and AWS as secondary. - Strong, hands-on administering the Microsoft Fabric ecosystem (OneLake, capacities, workspaces, tenant/admin settings, Data Factory, Real-Time Intelligence, and Power BI).
- Proven experience leading and building proactive monitoring, alerting, and observability (SLAs/SLOs, dashboards, incident response). - Strong DataOps/CI-CD experience (Azure DevOps or GitHub Actions), infrastructure-/configuration-as-code, and administrative/RBAC/security controls. - Experience partnering with engineering teams to define and enforce CI/CD and production migration/promotion processes across environments.
- Multicloud administration experience, with Microsoft Azure as primary and Google Cloud and AWS as secondary. - Strong, hands-on administering the Microsoft Fabric ecosystem (OneLake, capacities, workspaces, tenant/admin settings, Data Factory, Real-Time Intelligence, and Power BI). - Hands-on administration of enterprise data platform services such as Snowflake, Informatica (data governance, data quality, and application integration), and Semarchy (master data management), or comparable tools.
- 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.
- Strong, hands-on administering the Microsoft Fabric ecosystem (OneLake, capacities, workspaces, tenant/admin settings, Data Factory, Real-Time Intelligence, and Power BI). - Hands-on administration of enterprise data platform services such as Snowflake, Informatica (data governance, data quality, and application integration), and Semarchy (master data management), or comparable tools. - Demonstrated FinOps experience for data platform cost management, capacity optimization, tagging, budgeting, showback/chargeback, and cloud cost tooling.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.
The ideal candidate will have the following behavioral traits
*This position is not eligible for visa sponsorship or Relocation assistance.
Benefits:
Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, life and health insurance, paid vacation & holidays, tuition assistance programs, and more.
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Alajuela, CR
Working pattern and location restrictions need checking in the full posting.
- Analytical mindset with a focus on reliability, automation, cost efficiency, and measurable outcomes. *This position is not eligible for visa sponsorship or Relocation assistance. Benefits: