Join Databricks as a Solutions Architect to lead technical strategies for major financial services accounts in Toronto.
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
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Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
The Solutions Architect at Databricks plays a crucial role in guiding large enterprises through their data transformation journeys, focusing on the adoption of machine learning and AI solutions. This position requires a strong technical background in big data and cloud technologies, particularly with Azure and AWS, along with experience in data-driven business transformation. Ideal candidates will have over seven years of experience in the Financial Services and Insurance sectors, with a proven ability to build relationships with key decision-makers in large accounts.
Joblaze insights
Quick facts
From the original posting
Location: Toronto, ON
REQ ID - FEQ128R19
We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect (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 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 the greater region.
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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