Solutions Architect - Montreal

Databricks

Montréal, QC, Canada
Base: $160,500 - $246,100 cad; bonus/equity: eligi...
On-site (with openness to remote candidates in other locations in canada)
5+ years customer-facing pre-sales experience
Expertise in big data engineering or data warehousing
Fluent in sql and database technology
Databricks is seeking a Solutions Architect in Montreal who will collaborate with customers to design scalable data architectures using their technology. The ideal candidate will have extensive experience in customer-facing technical roles and a strong background in big data, data engineering, and cloud services

Job Summary

  • The role involves partnering with customers to design scalable data architectures using Databricks technology throughout the sales lifecycle.
  • Candidates will work with Sales partners to develop account strategies and establish the Databricks Lakehouse architecture as the standard for customers.
  • The position offers a competitive salary range of $160,500 to $246,100 CAD along with eligibility for annual performance bonuses and equity.

Matching Summary

Match Score: 85

Databricks is seeking a Solutions Architect in Montreal who will collaborate with customers to design scalable data architectures using their technology. The ideal candidate will have extensive experience in customer-facing technical roles and a strong background in big data, data engineering, and cloud services.

Salary

Base: $160,500 - $246,100 CAD; Bonus/Equity: Eligible for annual performance bonus and equity; Benefits: Comprehensive benefits package available

Skills & Requirements

Must-have

  • 5+ years customer-facing pre-sales experience
  • Expertise in big data engineering or data warehousing
  • Fluent in SQL and database technology
  • Debug and development experience in Python, Scala, Java, or R
  • Ability to translate business needs to technology solutions

Nice-to-have

  • Experience building solutions with AWS, Azure, or GCP
  • Degree in Computer Science or Applied Mathematics
  • Promotion of open-source projects like Spark and Delta Lake
  • Travel up to 30% of the time
  • Experience with data science and machine learning projects

Key Requirements

  • 5+ years in pre-sales or technical architecture roles
  • Fluency in SQL and database technologies
  • Proficiency in Python, Scala, Java, or R
  • Canadian work authorization required
  • Quantitative degree preferred

Work Rights

Not specified

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