Job Description :
Senior Search Architect
Location : San Francisco - CA
Duration: 6+ Months,
Expenses will be paid

Must Have Skills:
· Relevant technical degree or equivalent with 12+ years’ experience demonstrating capabilities within the areas of enterprise search, metadata, and taxonomy concepts/technologies.
· Experience developing and influencing technology roadmaps aligned to business capabilities.
· Content indexing (crawling – ETL) - Setting up indexing, retrieving, ranking heterogeneous datasets
· Enterprise search platform (e.g. SOLR – Elastic Search – LucidWorks – Sinequa – Attivio…)
· Strong and proven experience with Apache Solr, Lucene, Elastic Search, ZooKeeper, and Solr Cloud.
· Metadata, taxonomy, and ontology search integration
· Semantic framework basics (RDF –OWL – Triple Store)
· Service Oriented Architecture (SOA)
· Taxonomy/Ontology platform knowledge (e.g. SmartLogic – SchemaLogic – Mondeca)
· Auto-tagging – auto-classification – entity extraction – NLP
· Software development experience with a highly-scalable, distributed, large multi-node environment that anticipate and manage scalability and performance problems.
· Strong programming experience in Java, multithreaded programming & other OOP languages
· Experience in implementing web services API, data contract with JSON, XML, CSV
· Solid understanding of consuming RESTful APIs
· Ability to interpret and communicate technical information into business language

Job Roles / Responsibilities:
· Lead the effort to ensure that enterprise search architecture decisions support the business and IT strategy, and that the delivered architecture is compliant with relevant architecture standards, blueprints and roadmaps.
· Participate in architecture assessments & reviews either as lead reviewing architect or as an enterprise search subject matter expert in the review team.
· Provide architectural expertise and technical direction to system development and projects with respect to search and taxonomy technologies, platforms, and services.
· Define the overall enterprise search platform roadmap and drive its successful implementation.
· Define the overall infrastructure vision and roadmap and lead its successful implementation.
· Understand implications of IT architecture requirements to ‘As-Is’ architectures and define/update ‘To-Be’ architectures applying ServiceNow architecture guiding principles.
· Maintain a view of the current and future state (1-3 years) enterprise search architecture within a defined architecture focus on infrastructure and application development.
· Be accountable for driving solution evaluation and selection decisions, buy vs. build decisions, and early-phase project estimates which contribute to the business case.
· Deliver competitive edge and insight through innovative data ingestion, NLP, data text-mining, content analytics, and information and data presentation technologies.
· Design, implement, and support a comprehensive set of enterprise metadata and taxonomy platform services.
· Continuously scan the technical landscape to identify ways to improve search relevance, accuracy, and overall user experience.

Mary Silvery
w: Direct ext 156