Customer Success Architect

Sigma Computing

United States

Remote

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Sigma Computing is seeking a Customer Success Architect to lead the post-sales technical journey, working with customers to understand business needs and implement tailored analytics solutions that ensure objectives are met and value is realized.

You will collaborate with product and engineering teams to share best practices for performance, security, and embedded analytics, and help grow accounts through expanded use cases and successful deployments.

Qualifications

  • 10+ years of business intelligence experience in a customer-facing technical role.
  • Strong customer relationship skills.
  • Solid understanding of database concepts.
  • Experience with cloud data warehouses (Snowflake, Redshift, BigQuery).
  • Experience designing and writing software using JavaScript/TypeScript, SQL, React, GraphQL, and GitHub.
  • ETL experience.
  • Experience implementing production BI solutions.

Responsibilities

  • Provide technical expertise to ensure customers meet objectives and renewals.
  • Advise on best practices, performance, security, and embedded analytics.
  • Capture customer feedback and influence product roadmap.
  • Design and develop BI analytics solutions for customer environments.
  • Collaborate with product managers and engineers to deliver and improve solutions.
  • Document implementations and troubleshoot complex issues.

Skills

Business intelligence
Customer relationship
Database concepts
ETL
Production BI solutions

Tools

JavaScript/TypeScript
SQL
React
GraphQL
GitHub

Job description

Customer Success Architect (CSA) team provides technical expertise for the post-sales customer experience. Customer Success Architects are responsible for making sure that our customers are meeting their objectives. They are a vital component of our company’s success, working with customers, partners, and product teams to deliver success for our valued customers. CSA supports multiple post-sales roles including GTM, Support, & Product.

What You Will Be Doing

  • Sigma champion and product expert, customers will look to you for advice and expertise

  • Advisor to our customers on technical best practices including

    • Sigma best practices and patterns
    • Performance and tuning
    • Security including SSO, team organization, and row-level security
    • Embedded and API access
    • Related data products like CDW, ETL, and catalog tools
  • Capture product feedback from customers and engage with the product team to improve our product roadmap

  • Identify new use cases to grow accounts and find areas where Sigma can provide the most value to ensure renewals

  • Cultivate customer references for the marketing team

  • Design and develop software solutions for Business Intelligence and analytics products while providing technical expertise for post-sales customer success.

  • Working directly with customers to understand business and technical requirements and implementing tailored analytics solutions in customer environments; advising customers on best practices for implementation, performance, security, embedded analytics, and API access; collaborating with Product Managers and Engineering teams to deliver and improve customer solutions;

  • Documenting software and technical implementations; monitoring deployed solutions and troubleshooting complex technical issues; and learning product capabilities, release processes, and maintenance procedures to ensure successful customer outcomes.

Qualifications We Need

  • Minimum 10 years of business intelligence experience working in a customer-facing technical role (customer success or consulting)
  • Customer relationship skills
  • Experience with database concepts
  • Data warehouse experience - cloud data warehouse preferred (Snowflake, Redshift, BigQuery)
  • Designing, developing, and writing software and custom solutions using technologies such as JavaScript/TypeScript, SQL, React, GraphQL, and GitHub
  • ETL experience
  • Experience implementing production business intelligence solutions
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