Data Eaver is seeking an experienced Data Architect to design and implement semantic data architectures—ontologies, taxonomies, metadata, and knowledge graphs—and integrate them with AI/ML platforms to power conversational experiences and AI-enabled data products.

MUST-HAVE QUALIFICATIONS

• Education: one of the following—Degree (CS/IT/ENG/MIS or related) + 6 yrs; Diploma + 8 yrs; Certificate + 9 yrs; or 10 yrs progressive related experience.
• 5+ yrs building analytical/quantitative models and solving complex design problems.
• 5+ yrs in data analytics/data science or AI/ML projects.
• 5+ yrs with Hadoop, Microsoft SQL, and unstructured data (social, video, audio).
• 5+ yrs applying statistical methods (e.g., regression, significance testing).
• 5+ yrs dimensional modeling and relational database modeling.
• 5+ yrs Python development.
• 5+ yrs in DW/BI or similar data environments (dev or support).
• 1+ yrs semantic data modeling & ontology design for conversational AI.

SUBMISSION REQUIREMENTS (STRICT)

• Resume must:
• Describe required experience under the job/project where it was attained.
• List each job/project term as MMM/YYYY to MMM/YYYY.
  Job Types: Full-time, Fixed term contract
  Contract length: 12 months
  Pay: $80.00-$90.00 per hour
  Expected hours: 40 per week

Experience:

• Data Architect: 8 years (required)

Work Location: Remot

• Lead semantic data modeling for generative AI apps and conversational UIs.
• Define and govern ontologies, taxonomies, and metadata standards.
• Document architecture decisions, standards, and best practices.
• Architect scalable cloud infrastructure for knowledge graphs and AI/analytics services.
• Integrate GenAI tools with enterprise data systems and support conversational UIs/AI agents.
• Embed privacy, security, and ethical AI controls in all designs.
• Mentor team members and evaluate emerging tech to guide strategy.