Data / Search Specialist

This is a remote position.

• Build and configure connectors and ingestion pipelines bringing approved enterprise content into knowledge bases, including SharePoint Online, Exchange/Outlook, OneDrive, and Teams.
  
• Design and maintain knowledge base structures using Amazon Bedrock Knowledge Bases and Amazon OpenSearch, including chunking, metadata, and indexing strategies.
  
• Integrate structured data sources such as Amazon Athena, Redshift, RDS, and S3 for retrieval and analysis.
  
• Generate and manage embeddings and configure vector stores for retrieval.
  
• Build a retrieval-evaluation framework and iteratively improve relevance, accuracy, and grounding/citation quality.
  
• Implement document-level and user-level access enforcement so retrieval respects data classification, PHI/PII boundaries, and least-privilege principles.
  
• Collaborate with the architect and engineers to align data design with the overall solution and evaluation goals, and transfer practices to customer staff.
  
• Document data flows, indexing decisions, retrieval configurations, and connector feasibility for handover and reuse.
  

• Hands-on experience with search, retrieval, or knowledge-base systems and the data pipelines that feed them.
  
• Working knowledge of embeddings, vector stores, and RAG retrieval patterns.
  
• Experience with data ingestion, connectors, indexing, and content preparation, ideally including Microsoft 365 sources.
  
• Strong understanding of data permissions, document-level / user-level access control, data classification, and governance (including PHI/PII).
  
• Familiarity with AWS data and AI services (e.g., Amazon Bedrock Knowledge Bases, OpenSearch, Athena/Redshift/RDS/S3) and core AWS fundamentals.
  
• Strong problem-solving skills, attention to data quality, and ability to transfer practices to customer staff.
  

• Experience with Amazon OpenSearch, Kendra, Amazon Q Business, or comparable enterprise search platforms.
  
• Background in data engineering or information retrieval.
  
• Experience building formal retrieval-evaluation methods and quality monitoring.
  
• Exposure to regulated or public-sector environments.
  
• AWS certification in data analytics or machine learning.
  

• This is a US-only position; candidates must be authorized to work in and based in the United States.
  
• The role is primarily remote but may require travel up to 10% during the engagement for on-site workshops and customer sessions.
  
  

• 5 to 10 years of experience with at least 2 years of relevant technical stack experience.
  
• Should understand AWS fundamentals in addition to the AI/data stack.