Microsoft Enterprise Search Design Engineer

Responsibilities : Design, develop and deploy advanced enterprise search solutions using Microsoft Search, SharePoint Online Search, Azure Cognitive Search, and Microsoft Graph, ensuring scalability, relevance, and performance, with a focus on aligning with the organization’s Microsoft Enterprise Search direction. Conduct business analyses by engaging directly with stakeholders to understand search-related challenges. Configure and customize SharePoint Online search components (e.g., search schemas, managed properties, query rules) and integrate Microsoft Search connectors to enhance content discoverability and user productivity. Build and integrate sophisticated search applications using Azure Cognitive Search for AI-driven capabilities (e.g., NLP, entity recognition), Microsoft Graph for M365 data retrieval, and custom APIs for external system integration, leveraging insights from other search platforms (e.g., Elasticsearch, Solr) as applicable. Integrate search solutions with external systems (e.g., CRM, ERP) using Azure Functions, Azure Logic Apps, and custom development as needed. Provide expert-level technical support for Microsoft Search, SharePoint Search, Azure Cognitive Search, and related tools, resolving issues with business users, delivery teams, external agencies, and vendors, applying broader search platform knowledge where beneficial. Drive tool adoption by evangelizing Microsoft search platform capabilities, conducting training sessions, and mentoring power users and team members on leveraging search features effectively. Provide technical guidance, mentorship, and code reviews to junior engineers, fostering their growth and ensuring high-quality deliverables within the Microsoft search framework. Performance Monitoring and Optimization: Regularly monitor search performance (e.g., query latency, indexing efficiency) using Azure Monitor and SharePoint analytics, identify bottlenecks, and implement optimizations to enhance user experience, drawing on best practices from other search platforms as a plus. Security & Compliance: Ensure search solutions are secure and compliant with enterprise standards, integrating Microsoft Purview for data governance and managing identity/access via Azure Active Directory; maintain related documentation. Data Reporting: Work with reporting platforms (e.g., Power BI) to summarize search usage and performance data maintained in the system. Initiative Execution: Actively contribute to Microsoft search-focused initiatives, applying specialized skills to achieve the objectives and expected Value. Contribute to the ongoing realization of Value from these enterprise platforms through continuous integration and deployment. Collaboration and mentorship: Work collaboratively with team members within the subdivision and across other digital and business units and mentor and guide junior developers and team members. Continuous Learning: Engage in continuous learning and professional development to stay abreast of the latest trends and technologies in a specific area of expertise. Innovation: Contribute innovative ideas and approaches to enhance project outcomes and digital capabilities. Reporting: Regularly report on system use to your Capability Lead, VT captain, and team members. Problem-Solving: Employ analytical and problem-solving skills to overcome project challenges and deliver effective solutions. Quality Assurance: Ensure the highest quality and consistency in the work delivered. Requirements Required Qualification: Bachelor's degree in a relevant field, e.g., Computer Science, Data Science 5+ years of demonstrated engineering experience in designing and configuring enterprise search solutions, with a strong focus on Microsoft Search, SharePoint Online Search, and Azure Cognitive Search. Proven ability to perform business analyses, working directly with stakeholders to define and deliver search-focused technical solutions within the Microsoft ecosystem. Proficiency in Microsoft search development and configuration, including Microsoft Graph APIs, Azure Cognitive Search skillsets, SharePoint Search Service Application, and custom ranking models. Comprehensive working knowledge of related Microsoft technologies: PowerShell for automation, Azure Functions, Azure Logic Apps, REST APIs, and integration with M365 services (e.g., Teams, Exchange). Scripting expertise in PowerShell, with familiarity in C#, JavaScript, or Python for search customizations. Strong understanding of relational databases, SQL, and data indexing strategies for structured and unstructured content within Microsoft platforms. Experience with Agile and DevOps methodologies, including Azure DevOps for CI/CD pipelines and version control in Microsoft search deployments. Advanced problem-solving capabilities to troubleshoot and resolve issues across Microsoft search applications, infrastructure, and deployment pipelines. Exceptional collaboration skills, with the ability to work effectively with development teams, business users, vendors, and external agencies. Excellent written and verbal communication skills, with the ability to train and mentor others on Microsoft search technologies. Adaptable to evolving project scopes and technologies, with a commitment to continuous learning in the Microsoft search domain. Ensure compliance with industry standards and best practices for security, scalability, and reliability. Preferred Qualification: Microsoft Certified: Microsoft 365 Enterprise Administrator Expert, Azure Solutions Architect Expert, Azure AI Engineer Associate, Power Platform Functional Consultant (for integration with Power Apps/Search). At Astellas, we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work