Solutions Architect

About the Company

Interval helps enterprises turn messy, underused data into governed, high-confidence intelligence—without handing control to a black box. We bring compute to your data with a private data lakehouse, verifiable audit trails, and U-AI, our contextual AI framework for secure AI workflows.

Responsibilities

• Architect end-to-end solutions integrating Interval’s capabilities with cloud warehouses, lakehouses, and BI stacks
• Lead technical discovery and design workshops to produce reference architectures and implementation plans
• Prototype and run POCs showcasing secure LLM workflows and governed data-sharing
• Serve as a trusted advisor to enterprise stakeholders on data governance, compliance, and ML-ops
• Collaborate with Product, Engineering, and Sales to influence roadmap priorities
• Create reusable assets and enablement content to scale architectural best practices
• Evangelize Interval through conference talks, blog posts, and community contributions

Requirements

• 8+ years designing and delivering enterprise SaaS or cloud data solutions
• Deep hands-on expertise with Databricks, Snowflake, GCP, AWS, or Salesforce Data Cloud
• Working knowledge of machine-learning and LLM workflows (vector DBs, embedding pipelines, fine-tuning)
• Fluency in SQL and Python
• Ability to read infrastructure-as-code
• Strong grasp of modern data-governance, security, and compliance patterns
• Exceptional written and verbal communication skills

Preferred Qualifications

• Experience with blockchain-based data protocols, tokenization, or zero-knowledge proofs
• Prior success building reference architectures or contributing to OSS projects
• Domain exposure in finance, energy, real estate, or logistics