Posted by employer 3 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 2 hours ago
Not disclosed in this posting: years of experience, visa sponsorship.
Joblaze summary
In the role of Solutions Architect for Manufacturing at Databricks, the individual will engage with large enterprise clients to define and implement technical strategies that enhance their data-driven initiatives. This position requires a strong foundation in big data, data science, and cloud technologies, along with programming skills in languages such as Python or Java. Ideal candidates are seasoned pre-sales professionals with experience in managing substantial global accounts and fostering relationships with key decision-makers. The role emphasizes collaboration with a team to drive the adoption of Databricks' solutions in the High Tech and Manufacturing sectors.
Joblaze insights
Quick facts
From the original posting
Location: Chicago, IL | Minneapolis, MN
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Central US.
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 the High Tech and Manufacturing space
Outcomes
Competencies:
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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 anticipates 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. For more information regarding which range your location is in visit our page here.
About Databricks
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