Search Architect and Engineer

Search Architect and Engineer | Req#4232 Duties

• Architect, design, and implement Azure-based search platforms, including Azure AI Search and related data ingestion and enrichment pipelines
• Lead the design of scalable, highly available search architectures supporting large data volumes, diverse data sources, and high-performance query workloads
• Define reference architectures, technical standards, and best practices for cloud search, data indexing, and retrieval services
• Integrate cloud search services with distributed data processing environments such as Azure Databricks and Azure Synapse Analytics
• Design and optimize data ingestion, transformation, indexing, and enrichment workflows using Azure Data Factory, Azure Functions, Logic Apps, and event-driven architectures
• Establish and maintain operational parameters for deploying, scaling, and managing search services and supporting workflows
• Design and optimize storage strategies using Azure Data Lake Storage Gen2, Blob Storage, and relational or No
  
  SQL data sources to support efficient indexing and retrieval
• Implement performance, relevance, and ranking optimizations for search workloads, including schema design, index tuning, and query optimization
• Deploy and manage monitoring and dashboard solutions using Azure Monitor, Log Analytics, and Application Insights to track system health, search performance, availability, and cost efficiency
• Provide technical leadership on security architecture, identity integration, and access controls using Azure Entra , RBAC, private endpoints, and network isolation
• Guide automation and infrastructure-as-code implementations using Terraform, Azure Bicep, or ARM templates
• Produce architectural documentation, system diagrams, and operational guidance for engineering and stakeholder teams
• Support data governance, metadata management, data quality, and privacy protection requirements within search and discovery platforms
• Collaborate with data science, engineering, and operations teams to design and validate end-to-end search and analytics solutions
• Identify and resolve complex technical, architectural, and operational challenges
• Support agile project execution, including sprint planning, backlog refinement, technical reviews, and cross-team coordination
• Maintain Kanban or sprint boards and track architectural tasks, milestones, and dependencies
• Develop and oversee production-ready code, tools, and workflows supporting indexing, enrichment, testing, and validation of search outputs
• Define and oversee cost optimization strategies for search services, compute, and storage resources
• Document and distribute design decisions, architectural standards, and technical recommendations

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field, or equivalent professional experience
• Experience architecting and supporting Azure cloud-based platforms
• Hands‑on experience designing and implementing cloud search or data discovery solutions (e.g., Azure AI Search, Autonomy/IDOL or equivalent technologies)
• Experience administering Linux‑based systems and cloud‑native services
• Proficiency in programming or scripting languages used for cloud engineering and data pipelines
• Experience with source code management platforms, CI/CD pipelines, and collaborative development workflows
• Strong understanding of cloud architecture principles, security design, scalability, and cost optimization
• Strong analytical, troubleshooting, and solution design skills
• Ability to communicate architectural concepts to technical and non‑technical audiences
• Proficiency with source code management and collaboration tools such as Git‑based repositories and issue tracking systems

• Microsoft Certified:
  Azure Solutions Architect Expert
• Experience designing enterprise or large‑scale cloud architectures with search, analytics, and data platforms
• Experience supporting distributed computing, indexing, and data enrichment frameworks, including workload monitoring and performance tuning
• Familiarity with semantic search, vector search, AI‑powered enrichment, or natural language processing workloads
• Autonomy/IDOL:
  Experience…