Note: The job is a remote job and is open to candidates in USA. Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster through an AI-powered Connected Intelligence Platform. The R&D Analytics Engineer will build and scale the data and AI foundation of Ontic’s enterprise SaaS business by architecting data models, pipelines, analytics infrastructure, and AI-enabled workflows. The role partners cross-functionally to create scalable systems that support decision-making and operational processes.
Responsibilities
- Design and maintain scalable dbt data models in Snowflake that serve as trusted sources of truth across the business
- Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
- Develop durable, extensible data assets that evolve as the company scales
- Establish modeling standards, documentation practices, and governance frameworks
- Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.)
- Build data foundations that power internal AI applications and LLM-enabled workflows
- Prototype and productionize AI-driven operational use cases
- Integrate analytics and AI into everyday workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
- Design systems that embed data directly into operational processes — not just dashboards
- Partner with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems
- Create reusable data assets that enable activation via Hightouch and analysis via Omni
- Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements
Skills
- Experience in analytics engineering, data engineering, or similar hands-on roles
- Strong SQL skills and deep understanding of modern data modeling (dimensional modeling, transformations, data contracts, etc.)
- Experience building in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Comfort working in a fast-moving, evolving AI tooling landscape
- Systems-level thinker who designs for scalability, extensibility, and flexibility
- Naturally curious and energized by solving ambiguous problems
- Pride in building clean, durable architecture — not just shipping quick fixes
- Strong communication skills and ability to collaborate across business and technical teams
- Experience with these tools is helpful but not required
Benefits
- Medical, Vision & Dental Benefits
- 401k
- Stock Options
- HSA Contribution
- Learning Stipend
- Flexible PTO Policy
- Quarterly company ME (mental escape) days
- Generous Parental Leave policy
- Home Office Stipend
- Mobile Phone Reimbursement
- Home Internet Reimbursement for Remote Employees
- Anniversary & Milestone Celebrations
Company Overview