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Internship Azure Architect Jobs in Oregon (NOW HIRING)

Internship experience, academic projects, hackathons, or open-source contributions. * Exposure to ... Azure, or Google Cloud. * AWS or other cloud certifications. * Understanding of cloud architecture ...

Internship Azure Architect information

See Oregon salary details

$12

$24

$40

How much do internship azure architect jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship azure architect in Oregon is $24.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $28.22 per hour, depending on experience, location, and employer.

What is an internship Azure Architect?

An Internship Azure Architect is an entry-level or student position focused on learning and supporting the design, development, and implementation of cloud solutions using Microsoft Azure. Interns in this role typically assist experienced Azure Architects with tasks such as configuring cloud services, optimizing cloud infrastructure, and ensuring security best practices. This internship provides hands-on experience in cloud computing, preparing individuals for advanced roles in cloud architecture. It is ideal for students or recent graduates pursuing a career in cloud technology and architecture.

What types of projects and responsibilities can an internship Azure Architect expect during their internship?

As an Azure Architect Intern, you can expect to be involved in hands-on cloud projects such as designing, deploying, and optimizing Azure-based solutions under the guidance of senior architects. Typical responsibilities include assisting with infrastructure setup, collaborating on application migrations, and supporting security and compliance initiatives. Interns often work closely with cross-functional teams including developers, DevOps engineers, and project managers, gaining exposure to both technical and business aspects of cloud architecture. This experience not only builds practical skills but also provides valuable networking and mentorship opportunities within the organization.

What are the key skills and qualifications needed to thrive as an internship Azure Architect, and why are they important?

To thrive as an Internship Azure Architect, you need foundational knowledge of cloud computing, Azure services, networking, and basic programming skills, often supported by coursework or relevant degree studies. Familiarity with Microsoft Azure Portal, Azure CLI, and pursuit of certifications like Microsoft Certified: Azure Fundamentals are typically expected. Strong problem-solving, teamwork, and communication skills help interns collaborate and adapt quickly in dynamic technical environments. These skills ensure effective learning, practical contribution to projects, and readiness for more advanced cloud architecture roles.

What is the difference between Internship Azure Architect vs Azure Solutions Architect?

AspectInternship Azure ArchitectAzure Solutions Architect
QualificationsBasic understanding of Azure, relevant coursework, or certificationsAdvanced certifications like Azure Solutions Architect Expert, extensive experience
Work EnvironmentLearning-focused, entry-level projects, mentorshipDesigning and implementing Azure solutions in real-world projects
Industry UsageInternship programs in tech companies, cloud service providersFull-time roles across industries leveraging Azure cloud solutions

The Internship Azure Architect role is designed for beginners gaining foundational knowledge, while the Azure Solutions Architect is a professional position requiring advanced skills and experience in designing Azure solutions. Internships serve as a stepping stone toward becoming a full-fledged Azure Solutions Architect.

What cities in Oregon are hiring for Internship Azure Architect jobs?

Cities in Oregon with the most Internship Azure Architect job openings:

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

OR • On-site, Remote

$120K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago


Job description

We are seeking a Junior Solution Architect with a strong foundation in data science, MLOps, cloud data platforms, and modern data engineering to help design and implement real-time data integration and AI-enabled architectures. Working alongside experienced Solution Architects and Engineering teams, this role provides an opportunity for an early-career professional to gain hands-on experience designing scalable streaming data solutions that power enterprise AI, cloud modernization, and real-time analytics.

The ideal candidate is eager to apply data science and machine learning concepts to real-world enterprise challenges, expand technical expertise across modern cloud and data technologies, and develop into a trusted technical architect within a collaborative, fast-paced environment.

Responsibilities

  • Design and implement scalable real-time data integration and Change Data Capture (CDC) solutions using the Striim platform.
  • Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
  • Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
  • Build proof-of-concepts, reference architectures, and deployment patterns for enterprise implementations.
  • Configure, optimize, and troubleshoot data pipelines across cloud and hybrid environments.
  • Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve complex technical challenges, and improve platform capabilities.
  • Participate in architecture reviews, implementation planning, and production readiness activities.
  • Create technical documentation, architecture diagrams, and implementation best practices.
  • Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming.

Requirements

  • 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or solution architecture.
  • Strong foundation in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
  • Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
  • Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.
  • Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.
  • Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
  • Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
  • Experience programming in Python or Java and working with REST APIs and JSON.
  • Understanding of Docker containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
  • Strong analytical, troubleshooting, written, and verbal communication skills.
  • Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$120,000 - $130,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.