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Solutions Architect at Databricks | Ottawa, Canada

Databricks, Inc.Ottawa, Canada
On-site Full-time $160K/yr - $214K/yr

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Experience Level

Experience

Qualifications

Ideal candidates should have a strong background in data architecture, data engineering, or data science, with proven experience in implementing big data solutions. You should possess excellent communication skills, the ability to work collaboratively in a team environment, and a passion for technology and innovation.

About the job

Location: Ottawa, ON

Role Overview

Databricks is looking for a Solutions Architect to join the Canada team, focusing on Digital Native customers. This position works closely with advanced data engineering and data science groups, helping shape how organizations use big data technologies.

The role reports to the Field Engineering Manager. It involves working with customers, product teams, and other customer-facing colleagues to design effective architectures and solutions using Databricks’ platform and APIs. This position provides guidance on navigating the competitive landscape, adopting best practices, and implementing strategies. Building technical advocates within customer organizations is also part of the job.

What You Will Do

  • Partner with the sales team to provide technical leadership, helping customers see how Databricks can solve their business problems.
  • Consult on big data architectures and deliver proof of concepts for strategic projects. These projects may include data engineering, data science, machine learning, and SQL analysis workflows, as well as validating integrations with cloud platforms and third-party tools.
  • Work alongside other Solutions Architects to share expertise and support both colleagues and users.
  • Develop deep knowledge of Databricks-related open-source projects (such as Spark, Delta Lake, and MLflow), promote their use, and encourage developer community contributions.

About Databricks, Inc.

Databricks is a pioneer in unified analytics, providing a collaborative platform for data engineering, data science, and machine learning. With a focus on simplifying big data, we empower organizations to innovate faster and drive better business outcomes.

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