PaaS Automation - Digital Innovation - Operations

About the role

We're looking for a PaaS Automation Analyst to join our Azure & Power Platform Solutions team—a group focused on building smart, scalable automation and workflow solutions that help the business move faster and work smarter. In this role, you'll serve as a technical expert and trusted partner to the business, supporting the design, development, and ongoing enhancement of workflow automation, data solutions, and system integrations. The work spans both product-based initiatives and project-based delivery, offering a mix of structure and creative problem-solving in a fast-moving environment. If you enjoy turning complex problems into practical solutions—and thrive when every day looks a little different—this role offers high visibility, meaningful impact, and continuous learning.

This position is not eligible for visa sponsorship. Must be U.S. Citizen not on any type of Visa.

Location: Hybrid 3+ days in office at St. Paul, MN (West Side Flats)

Monday - Friday 8am-5pm CST

This role has multiple levels, open to candidates with 3 years minimum experience. The successful candidate will be hired for the level of the position that aligns with their experience.

Responsibilities

• Design, develop, and maintain data integration solutions using Domo Datasets, Collections, Code Engine, and Jupyter Workspaces.
• Build and support automated data ingestion, transformation, validation, and delivery processes across cloud and enterprise platforms.
• Develop integrations and workflows connecting Azure, Domo, SharePoint, databases, APIs, and enterprise systems.
• Optimize data pipelines, datasets, and automation processes to ensure scalability, performance, and data quality.
• Partner with business and technical teams to deliver reporting, workflow automation, and data-driven solutions.
• Architect and implement AI-powered solutions using Azure OpenAI, RAG, semantic search, agentic workflows, and intelligent automation.
• Integrate LLMs and Generative AI capabilities into enterprise applications while ensuring security, governance, and responsible AI practices.
• Build secure AI-enabled architectures leveraging Azure AI Search, AI Foundry, Machine Learning, Copilot technologies, vector databases, and enterprise data sources.
• Lead enterprise integration, API, automation, and cloud modernization initiatives.
• Support the full software development lifecycle, from requirements through deployment and continuous improvement.
• Analyze complex business and technical challenges, balancing functionality, security, performance, cost, and maintainability.
• Troubleshoot production issues, optimize platforms, and evaluate emerging technologies to drive innovation and productivity.

Primary platforms

• Azure Logic Apps
• Azure Function Apps
• Domo Code Engine
• Domo Jupyter Workspaces
• Domo Datasets
• Domo Collections

Additional technologies

• Azure API Management (APIM)
• Azure Storage Accounts
• Azure Key Vault
• Azure Service Bus
• Azure Event Grid
• Azure Monitor
• Application Insights
• GitLab
• Azure DevOps
• REST APIs
• SQL Server and Relational Databases

What success looks like

• Delivering scalable, secure, and reliable Azure PaaS and AI solutions that create measurable business value
• Successfully integrating Azure OpenAI and AI-powered services into enterprise workflows and customer-facing applications
• Designing reusable AI and integration frameworks that accelerate development across multiple teams and business functions
• Demonstrating strong ownership of platform health, operational excellence, and service reliability
• Communicating complex cloud, architecture, and AI concepts effectively to technical and non-technical audiences
• Driving modernization efforts through cloud-native architectures, automation, and emerging AI technologies
• Identifying opportunities to improve productivity, reduce costs, and enhance customer experiences through intelligent automation and Generative AI

Why join this team

• Lead the adoption of Azure OpenAI and next-generation AI technologies across a growing enterprise platform ecosystem
• Work with cutting-edge Azure services, cloud-native architectures, intelligent automation, and Generative AI solutions
• Play a key role in defining enterprise AI strategy, governance, architecture standards, and platform roadmaps
• Join a collaborative team that values innovation, continuous learning, and technical excellence
• Influence how AI, automation, and cloud technologies transform business operations and customer experiences
• Balance meaningful project work with opportunities to experiment, innovate, and drive transformational change

Qualifications

PaaS Automation 3 Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Three to five years of direct experience (with project lead experience), or five to eight years of related experience

PaaS Automation 4 Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Five or more years of direct experience (with project lead responsibilities), or eight or more years of related experience

PaaS Automation 5 Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Eight or more years of direct experience with project management responsibilities

Preferred skills/experience

• Strong hands-on experience with Azure Logic Apps and Azure Function Apps.
• Experience developing and supporting solutions using Domo Code Engine, Domo Jupyter Workspaces, Domo Datasets, and Domo Collections.
• Experience designing automated data pipelines and workflows across multiple platforms and services.
• Proficiency in one or more programming languages such as Python, JavaScript, C#, or SQL.
• Experience developing and consuming REST APIs and integrating enterprise applications.
• Knowledge of data movement, transformation, orchestration, and automation patterns.
• Experience working with structured and unstructured data sources.
• Familiarity with source control systems and CI/CD practices.
• Experience troubleshooting production issues and performing root cause analysis.
• Understanding of cloud security best practices, identity management, and access controls.
• Strong organizational, analytical, and problem-solving skills.
• Excellent communication and collaboration abilities.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law