Sr. Solutions Architect

Smartsheet Smartsheet · Seattle · United States · Consulting

Smartsheet is seeking a Sr. Solutions Architect to lead customer conversations, develop, build, test, and deploy solutions leveraging Smartsheet, its API, and integrations with other products. The role involves technical consulting, solution design, quality assurance, and acting as a Subject Matter Expert for advanced Smartsheet functionalities. Responsibilities include developing custom software, leading design sessions, documenting technical solutions, reviewing designs, providing mentorship, and determining solution feasibility and costing. The role also involves managing technical projects, developing middleware applications, and providing feedback to Product & Platform Engineering teams.

What you'd actually do

  1. Develop, build, test and deploy custom software solutions leveraging a wide array of Smartsheet product & third party APIs
  2. Lead technical consulting engagements that require custom software development by leading design sessions, defining technical requirements, and validating solution architecture against product best practices
  3. Design and document technical solutions aligned with client business objectives
  4. Review and validate solution designs produced by other Architect team members
  5. Provide quality oversight of engagements through formal peer to peer feedback, ongoing mentorship and coaching

Skills

Required

  • 5+ years relevant work experience
  • 3+ years of customer facing experience
  • Working experience with two or more of our primary languages (.Net, NodeJS, Python, Java, Ruby)
  • Experience working with SaaS/IPaaS applications in an enterprise environment
  • Strong communication skills (written, verbal, presentation)
  • Proven ability to drive projects from concept through completion with minimal guidance
  • Understanding of systems architecture
  • Understanding of key design patterns
  • Knowledge of data integration

Nice to have

  • Bachelor’s degree in MIS, CIS, CS
  • large data volume best practices
  • integrating SaaS applications with different business systems (ETL, CRM, business analytics, reporting, etc.)