Solutions Architect - MFG - West
Calgary · Vancouver · Canada · CAD 185,000-225,000 / year · 7+ years experience · Posted Sep 28, 2026
At a glance
- Experience
- 7+ years experience
- Location
- Calgary · Vancouver · Canada
- Salary
- CAD 185,000-225,000 / year · OTE
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- As a Solutions Architect at Databricks, you will partner with customers to design scalable data architectures using Databricks technology. You will act as a trusted advisor to technical leads, driving complex technology discussions and representing customer needs to internal teams.
Responsibilities
- Develop account strategies with Sales to grow platform usage.
- Establish the Databricks Lakehouse architecture as the standard for customers.
- Build and present reference architectures and demo applications.
- Consult on big data architectures, data engineering pipelines, and data science/machine learning projects.
- Prove out Databricks technology for strategic customer projects.
- Validate integrations with cloud services and 3rd party applications.
- Promote open-source projects like Spark, Delta Lake, MLflow, and Koalas through meetups, conferences, and webinars.
Requirements
- 7+ years in a customer-facing pre-sales, technical architecture, or consulting role.
- Expertise in big data engineering, data warehousing/ETL, data science/machine learning, or data applications.
- Experience translating business needs to technology solutions.
- Experience designing, architecting, and presenting data systems.
- Fluent in SQL and database technology.
- Debug and development experience in Python, Scala, Java, or R.
Preferred qualifications
- Built solutions with public cloud providers such as AWS, Azure, or GCP.
- Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
Benefits
- Annual performance bonus
- Equity
Workplace
- Travel to customers in your region up to 30% of the time.
Skills
- Spark
- Hadoop
- Kafka
- SQL
- OLTP
- OLAP
- DSS
- Pandas
- Scikit-learn
- HPO
- Python
- Scala
Show all 15 skills
- Java
- R
- Delta Lake