Join Databricks as a Solutions Architect to lead technical strategies for large enterprises in their data-driven transformation.
Posted by employer 1 day ago
First seen on Joblaze 5 hours ago
Last verified on the company career page 5 hours ago
What you'll build
Must have
Nice to have
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Databricks, the individual will engage with large enterprise clients to define and implement technical strategies that enhance the adoption of data-driven solutions, particularly in machine learning and AI. Key skills include a strong background in big data technologies, programming in languages like Python or Scala, and experience in managing high-value accounts. This position is suited for seasoned professionals who excel in technical leadership and relationship-building with executives. The role also involves mentoring team members and fostering a culture of technical excellence within client organizations.
Joblaze insights
Quick facts
From the original posting
Location: Ontario, CAN
REQ ID - FEQ427R731
Mission
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals.
The impact you will have:
What we look for:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
About Databricks
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