• Resource should have 10-18+ years of experience in Power BI with health care knowledge • Experience in developing Power BI reports and dashboards from various Data Sources like Databases, Excel, csv, share point files and Snowflake • Experience in creating various measures and columns in Power BI using Data Analysis Expression • Experience working on different Power BI reports by using Slicers, Various Filters, drill up, drill down, sorting and different visuals according to the requirement • Experience in Implementing conditional formatting, drill through feature, used buttons, page navigations, bookmarks, reset • Experience in Publishing the Reports, enabled Schedule Refresh and monitored the refresh daily.

• Designing and delivering POCs that address complex business requirements and highlight OneStream's strengths against competing platforms. • Serving as the functional and technical expert for OneStream’s go-to-market team throughout the sales cycle. • Building strong relationships across key OneStream teams to support POC success and foster professional growth, including Demo Development, Field Sales, Sales Enablement, Product Management, and Product Engineering. • Translating POC findings and prospect feedback into actionable insights for Product Management and Engineering, directly shaping OneStream's product roadmap. • Continually enhancing and scaling technical assets to ensure high-quality and efficient POC projects.

• Serve as the primary technical point of contact for a portfolio of Grafana customers. • Design the observability maturity journey of customers and assist them on that path. • Provide expert-level troubleshooting and guidance to drive adoption. • Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience. • Advise clients on best practices and strategies for leveraging our technology to achieve their business goals • Collaborate with clients to develop and execute technical roadmaps. • Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features. • Develop and maintain strong, long-term relationships with key stakeholders. • With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle. • Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment. • Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests. • Conduct training sessions and workshops to educate clients on our technology. • Develop and deliver technical documentation, guides, and tutorials. • Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects. • Prepare and present reports on client metrics, achievements, and areas of focus.

Role Description We are seeking an experienced .NET Lead Technical Engineer / Architect who can lead the design and delivery of intelligent, enterprise-grade applications while remaining hands-on in development. This role requires deep expertise in .NET architecture, backend services, API development, and strong working knowledge of React for building modern user interfaces. The ideal candidate combines architecture leadership, strong coding ability, knowledge of software design patterns, and practical experience using AI and LLM-powered engineering tools within disciplined software engineering guardrails. - Lead the architecture, design, and implementation of AI-enabled enterprise applications using .NET for backend services and React for frontend development. - Remain hands-on in coding by building .NET services, REST APIs, orchestration layers, integrations, and React-based UI features. - Design scalable application architectures that incorporate AI, LLMs, or intelligent automation capabilities while maintaining reliability, security, and maintainability. - Define and enforce architecture standards, coding practices, design patterns, and engineering guardrails across the development lifecycle. - Apply strong software design principles including SOLID, dependency injection, modular design, event-driven patterns, and service-oriented architecture. - Partner with product managers, UX designers, AI engineers, developers, QA, and DevOps teams to translate and refine business needs into robust technical solutions. - Guide teams on API design, service contracts, frontend architecture, state management, testing strategies, observability, and deployment readiness. - Review solution designs and code to ensure alignment with performance, scalability, security, and maintainability expectations. - Mentor engineering teams and drive adoption of AI-assisted development practices that improve productivity without compromising software quality. - Support modern DevOps, CI/CD, cloud deployment, and automated testing practices for end-to-end software delivery. Qualifications - Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience. - Strong hands-on software engineering experience in C#, React Framework, .NET services, enterprise API development, and application design. - Proven experience leading architecture and technical delivery for enterprise-scale applications. - Good hands-on knowledge of React framework, JavaScript or TypeScript, and modern UI development concepts for building responsive web applications. - Experience building and integrating RESTful APIs, microservices, and distributed application components. - Strong understanding of software architecture, object-oriented design, and enterprise software design patterns. - Working knowledge of AI or LLM-enabled application use cases, intelligent workflow design, or AI-assisted development tooling. - Experience with secure software engineering practices, code reviews, testing strategies, and modern DevOps workflows. - Ability to balance technical leadership responsibilities with direct hands-on contribution to software development. - Strong communication and collaboration skills, with the ability to guide teams and influence technical decisions. Requirements - Experience using AI LLM coding agents, developer copilots, or AI engineering tools to accelerate solution design, coding, testing, refactoring, and documentation. - Ability to apply AI-assisted development within software engineering guardrails, including architecture standards, code quality expectations, security controls, privacy requirements, and review processes. - Evaluate AI-generated outputs critically for correctness, maintainability, scalability, security, and alignment with technical and business goals. - Define responsible AI development practices, ensuring generated code and design artifacts are verified through human review, testing, and governance controls. - Support the use of AI and LLM capabilities in software products where relevant, while preserving engineering rigor, traceability, and operational reliability. - Promote practical prompt patterns, reusable AI workflows, and team conventions that improve delivery speed while protecting software quality and design integrity. Benefits - Medical, dental, and vision insurance. - Comprehensive employee assistance program. - 401(k) retirement plan. - Paid time off and holidays.