# Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Toronto, Canada
**Role:** Solutions Architecture
**Salary:** CA$165k – CA$224k/yr
**Experience:** 5+ years
**Skills:** Databricks, Spark, Hadoop, Apache Kafka, SQL, ETL, Python, Scala, Java, R, AWS, Microsoft Azure, GCP, Delta Lake, MLflow
**Posted:** 2026-08-11

> Designs and presents scalable Databricks data architectures for customers throughout the sales lifecycle. The role requires 5+ years in pre-sales, technical architecture, or consulting, strong data-platform expertise, and customer-facing communication skills.

## Job Description

## Responsibilities
- Partner with customers to design scalable data architectures using Databricks technology and services.
- Drive complex technology discussions and communicate the value of the Databricks platform throughout the sales lifecycle.
- Engage customer technical leads, including architects, engineers, and operations teams, as a trusted advisor.
- Develop account strategies with Sales and other partners to grow customer platform usage.
- Establish the Databricks Lakehouse architecture as customers' standard data architecture through technical account planning.
- Build and present reference architectures and demo applications for prospects.
- Consult on big data architectures, data engineering pipelines, and data science and machine learning projects.
- Prove Databricks technology for strategic customer projects and validate integrations with cloud services and third-party applications.
- Promote Databricks open-source projects, including Spark, Delta Lake, MLflow, and Koalas, through meetups, conferences, and webinars.
- Travel to customers in the region up to 30% of the time.

## Requirements
- 5+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role.
- Expertise in at least one of the following areas:
  - Big data engineering, such as Spark, Hadoop, or Kafka
  - Data warehousing and ETL, such as SQL, OLTP, OLAP, or DSS
  - Data science and machine learning, such as pandas, scikit-learn, or HPO
  - Data applications, such as log analysis, threat detection, real-time systems monitoring, or risk analysis
- Ability to translate customer business needs into technology solutions and establish buy-in with stakeholders at all levels.
- Experience designing, architecting, and presenting data systems for customers and managing delivery of production solutions.
- Fluency in SQL and database technology.
- Debugging and development experience in Python, Scala, Java, or R.

## Nice-to-haves
- Experience building solutions with AWS, Azure, or Google Cloud.
- Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.

## Compensation
- Canada pay range: **$164,500–$224,000 CAD**.
- Total compensation may include an annual performance bonus, equity, and regional benefits.

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