Design, architect, migrate and implement large-scale solutions on the Microsoft Power Platform. Build custom canvas and model-driven Power Apps, Power Automate workflows, integrate with SharePoint and Oracle/SQL, manage Dataverse/CDS data, implement CI/CD, and deliver Power BI analytics and reporting.
The Expertise You Have
- 10+ years of development and architecture experience across the four enterprise architecture domains: business, system/application, information/data and technical/infrastructure using the Microsoft Power Platform
- Experience on Power Apps, PowerPoint Automation & Power BI
- Experience or certification in Azure Cloud Services and Amazon Web Services is preferred.
- Desire/ability to learn and implement new technologies.
- Experience with Agile development methodology.
- Background with multiple enterprise technologies
The Skills You Bring
- Strong understanding of the Microsoft Power Platform and experience in migrating large scale applications to the to Power Platform
- Hands-on experience and implementation of business process workflows and logic using Microsoft Power Automate
- Implement custom Power Apps (canvas and model-driven) tailored to business requirements.
- Utilize Power Automate to create workflows integrating with SharePoint sites for file handling and data retrieval.
- Connect and manage Oracle DB tables to ensure seamless data integration within Power Apps and automation processes.
- Strong Experience with SQL and data manipulation in Oracle DB environments.
- Knowledge of Microsoft Power Platform, including Power BI, canvas apps, model-driven apps, Power Automate flows and Dataverse.
- Strong background in data engineering, including data integration, ETL processes, and data management.
- Implemented systems and data integration using the various Power Platform connectors like Oracle connector, Office 365 connector, Common Data Services connector and SharePoint connector
- Large scale database design using Common Data Services, PowerApps Data Flows and Data Connectors
- Demonstrated skill in developing enterprise-wide applications using Canvas, Model-Driven and Portal technologies in Power Platform that is responsive to various devices
- Experience in all aspects of Architecture Design and cloud computing (infrastructure, storage, platforms and data)
- Analytics and reporting capabilities using Microsoft Power BI technology
- Demonstrated experience with CI/CD for Power Platform solutions.
- Shown an understanding and consistent record for cloud-based solutions, continuous integration/deployment and serverless architecture
- Excellent written and oral communication and problem-solving skills. Ability to handle multiple deliverables across
- Experience with strong large-scale data, data ingesting, enriching, modeling, workflow, central rules engine for metrics calculations/reporting
- Experience with designing and architecting analytics/reporting tools/solutions
- Strong understanding of the Power Platform ecosystem, including Power Apps, Power Automate, and Dataverse
Compensation, Benefits and Duration
Minimum Compensation: USD 40,000
Maximum Compensation: USD 142,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as the field technical authority bridging enterprise AI and security: drive AI security strategy, lead demos and POVs, advise on LLM/RAG/agent risks and data protection, influence product roadmap, and create reusable enablement assets to scale sales and secure production AI deployments.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)Llm ApisLlmsModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)Zero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Lead field-facing AI security strategy for enterprise customers: architect solutions, deliver demos/POVs, advise on LLM/RAG/agent security, prevent data exposure, and scale enablement across sales and product teams.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsDlpLlm ApisLlmsMcp (Model Context Protocol)Prompt WorkflowsRagZero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as field-facing technical authority on enterprise AI security: define AI technical strategy, design and deliver tailored demos/POVs, advise on LLM/RAG/agent risks and data protection, feed product roadmap, and create reusable enablement assets and training for sales and engineering teams.
Top Skills:
Agentic AutomationApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)GenaiLarge Language Models (Llms)Llm ApisModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)ScriptingZero Trust
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

