Senior Customer Architect

CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
3–5 years
Required Skills
PythonSQLETLSnowflakeBigQueryRedshiftDatabricks

Requirements

  • 3–5 years of experience in solutions architecture, technical customer success, implementation engineering, or similar client-facing technical roles
  • Strong SQL skills with hands-on experience in cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks)
  • Experience managing complex technical projects involving multiple stakeholders from kickoff to delivery
  • Solid understanding of cloud platforms (AWS, GCP, or Azure) and data pipelines (ETL, reverse ETL, event streaming, data modeling)
  • Strong communication skills with ability to simplify technical concepts for both technical and executive audiences
  • Hands-on experience using LLMs and AI tools (GPT, Claude, Gemini) for automation, analysis, or structured workflows
  • Ability to design or support AI-powered automations using APIs, Python, or no-code tools (Zapier, n8n, etc.)
  • Strong problem-solving mindset with the ability to evaluate AI outputs for accuracy and reliability
  • Experience in martech, CDPs, or marketing activation platforms is a strong asset

Responsibilities

  • Lead end-to-end onboarding and implementation of enterprise customers, from technical discovery to go-live and value realization
  • Own technical architecture across cloud data platforms (BigQuery, Snowflake, Redshift, Databricks) and integration workflows
  • Manage long-term customer relationships as the primary technical point of contact, driving adoption and expansion
  • Deliver executive-level QBRs/EBRs translating technical outcomes into clear business impact and growth opportunities
  • Troubleshoot complex data, pipeline, and integration issues across customer environments with urgency and precision
  • Build internal tools and automation (including AI-driven workflows) to improve customer success operations and scalability
  • Develop repeatable playbooks, documentation, and best practices to optimize onboarding and delivery processes
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