Join Databricks as a Sr. Solutions Architect to lead technical strategies for major retail and CPG clients in a fully remote role.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 4 days ago
AI in the day-to-day
null
Requirements
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Sr. Solutions Architect focuses on guiding major retail and CPG clients through their data transformation journeys, ensuring they effectively adopt Databricks' solutions. The position requires a strong technical background in big data, data science, and cloud technologies, along with experience in pre-sales and value selling. Ideal candidates will have over eight years of experience in large enterprise environments, particularly in retail, and a proven ability to drive data-driven change. The role also involves mentoring team members and collaborating closely with account executives to align technical strategies.
Joblaze insights
Quick facts
From the original posting
FEQ327R227
Location: Texas - Remote
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.