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Databricks

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Solutions Architect

🗓️ Posted 2026-08-18 Toronto, Canada Hybrid ICT

Company shared salary

NA

Market rate

10,833 CAD–18,333 CAD/mo (129,996 CAD–219,996 CAD/yr)

Based on similar roles (title + domain + location).

Responsibilities

  • ● Partner with our customers to design scalable data architectures using Databricks technology and services.
  • ● Drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.
  • ● Engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.
  • ● Work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements.
  • ● Report to the Field Engineering Manager.
  • ● Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
  • ● Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
  • ● Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
  • ● Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
  • ● Prove out the Databricks technology for strategic customer projects.
  • ● Validate integrations with cloud services and other 3rd party applications.
  • ● Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

Requirements

  • ● 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: Big data engineering (Ex: Spark, Hadoop, Kafka), Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO), or Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more).
  • ● Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
  • ● Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
  • ● Fluent in SQL and database technology.
  • ● Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  • ● Desired Built solutions with public cloud providers such as AWS, Azure, or GCP.
  • ● Desired Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
  • ● Ability to travel to customers in your region up to 30% of the time.