• 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.

Role Description We are seeking a highly skilled Workday PSA (Professional Services Automation) Architect to join our dynamic IT team. The ideal candidate will have extensive experience in Workday PSA and how to successfully deliver the solution within the challenges of the matrix environment. As a Workday PSA Architect, you will be responsible for managing, optimizing, and strengthening our Workday PSA solutions to support our finance and operational needs which spans project and contract set-up, customer accounts, billing, invoicing, and collections. - Lead the day-to-day management of the Workday PSA solutions. - Collaborate with cross-functional teams within operations and finance to gather requirements and translate them into effective Workday PSA configurations. - Align with Workday Financial and HCM architects to plan and deliver a roadmap aligned with enterprise leadership. - Continuously evaluate and optimize Workday PSA processes and configurations to enhance efficiency and user experience. - Understand Workday PSA product releases and oversee system regression testing. - Manage Workday PSA related projects, including planning, execution, monitoring, and reporting. - Support training and change management activities to maximize the effectiveness of the Workday PSA system. - Collaborate with other enterprise applications to ensure seamless integration of data in and out of Workday PSA. - Own data integrity and accuracy within the Workday PSA module. - Serve as the subject matter expert for Workday PSA within the organization. - Stay updated with the latest Workday PSA features, enhancements, and industry trends. - Ensure Workday PSA best practices are followed. - All other duties as needed or assigned. Qualifications - Bachelor’s degree in Information Technology, Computer Science, Business Administration, or related field. - Workday Pro Financials Certification. - Fortrea may consider relevant and equivalent experience in lieu of educational requirements. Requirements - Minimum of 5 years of experience in Workday PSA implementation and configuration. - Strong expertise in related Workday Financial domains and Time Tracking. - Proficiency in Workday Report Writing and Dashboard development. - Experience working with an Application Management Services provider. - Ability to architect solutions to fulfill business requirements. - Strong communication and interpersonal skills. - Collaborative approach working in a global team environment. - Proven ability to manage multiple projects and meet deadlines. - Experience managing direct reports. Benefits - The pay range for this position is $150,000.00 - $160,000.00/yr. Company Description As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers a wide range of clinical development and technology solutions across more than 20 therapeutic areas. Conducting operations in 100 countries, Fortrea is transforming drug and device development for partners and patients across the globe. Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Our Fortrea FOUR culture defines how we care and deliver: Forward Together, Own It, Uphold Integrity, and Respect People. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact.

Role Description Join our Data Modernization and Gen AI practice and take the lead across designing, building, and maintaining data pipelines and analytics solutions on the Databricks cloud platform. Collaborate with data analysts and customer stakeholders to ensure the availability, scalability, and reliability of data. We are seeking a highly skilled and motivated Databricks Data and AI Practice Architect with at least 7 years of hands-on experience in data engineering and at least 3 years in AI/ML engineering. The Individual: - Consultative and personable data and AI engineering leader, who will provide advice and leading expertise on Databricks and have a deep understanding of cloud data services to become a key contributor to various large scale data projects. - Works on specific projects critical to our needs with opportunities to switch teams and projects as our fast-paced business grows and evolves. - Is versatile, displays leadership qualities and is enthusiastic to take on new challenges across the data stack. Qualifications - Bachelor’s or higher degree in Computer Science, Information Technology, or a related field. - 10+ years industry experience building and supporting large-scale cloud systems. - Ability to speak and write in English fluently. - Excellent verbal and written communication skills. - Professional Certification in one or more areas: Cloud Architect, Solution Architect, Data Engineer, ML Engineer, Gen AI Engineer, Claude Code Architect. - Databricks certified candidates will be preferred. Requirements - Hands-on experience with Databricks, Spark and working knowledge of DBT for data processing and transformation. - Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design. - Hands-on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark (preferably in Databricks). - Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, GCP Cloud Build, and Jenkins. - Skilled in scripting languages including Python, SQL, PySpark, Jupyter Notebooks, R, Scala, Bash, and PowerShell. - Expert Level proficiency in: - Databricks, PySpark - MLflow for model tracking and deployment - ML pipelines and associated MLOps tools - Experience in deploying ML models securely in cloud-native architectures. - Experience in Generative AI Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI techniques. - Experience applying or fine-tuning foundational models or large language models (LLM). - Demonstrated experience in designing and integrating diverse data sources to support Agentic AI systems, including structured, unstructured, and real-time data pipelines in production environments. - Proficiency with Retrieval-Augmented Generation (RAG) frameworks, including implementation of vector databases, embedding models, and retrieval mechanisms to enhance contextual relevance and model performance. - Experience in conducting exploratory data analysis (EDA), data cleaning, and validation. - Experience in engineering feature pipelines and automate feature stores within Databricks. - Experience in building end-to-end ML pipelines with MLflow for training, evaluation, and model lifecycle management. - Experience in providing guidance on implementing AI agent frameworks such as LlamaIndex, crewAI, LangGraph, and Azure AI Foundry. - Experience in designing, implementing, and optimizing AI solutions leveraging both Large Language Models (LLMs) and Small Language Models (SLMs), ensuring scalability, efficiency, and alignment with business objectives. - Experience in developing and deploying scalable Machine Learning models using Databricks and Lakehouse architecture. - Experience in utilizing development containers, unit testing/code quality review - standard best practices. - Strong expertise in version control systems. - Familiarity with logging and monitoring solutions. - Familiarity with containerization and orchestration technologies. - Strong problem-solving, troubleshooting, communication and collaboration skills. Responsibilities - Design & Architecture: Design and implement data and AI solutions for the Databricks platform and APIs. Work with data engineering and data science teams, customers, and other customer-facing teams. Actively participate in whole AI/ML pipeline design, development, and implementation lifecycle. - Technical leadership: Provide technical guidance to customers on big data projects, including architectural design, data engineering, and model deployment. - Customer collaboration: Work with customers to understand their requirements, and help them define solutions and a roadmap to meet their goals. - Solution design: Create and review architecture and solution design artifacts. - Technical expertise: Demonstrate expertise in Databricks Lakehouse architecture, delta lake medallion architecture, data pipelines, CI/CD pipelines etc. - Communication: Communicate complex technical concepts to non-technical stakeholders, such as business leaders and C-level executives. - Documentation: Develop and maintain documentation for the Databricks platform, such as deployment guides, operational procedures, and architecture diagrams. - Risk management: Identify, communicate, and mitigate risks, assumptions, issues, and decisions. Job Type & Location This is a Permanent position based out of Beaverton, OR. Pay and Benefits The pay range for this position is $148200.00 - $222400.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 23, 2026.