Sr. Solutions Architect - Travel and Hospitality
AI summary of the role
Databricks seeks a pre-sales Solutions Architect to define and direct technical strategy for large Travel & Hospitality accounts within the Retail SA team, driving adoption of ML & AI.
What you’ll do
- Work with up to 9 clients as the main technical voice for Databricks
- Lead customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
- Implement the technical strategy in the account, aligned with the overall strategy
- Build a movement of technical champions within the account
What you’ll bring
- 6+ years of experience working with very large (> $1m ARR) accounts in the Retail and CPG space
- 4+ years in a pre-sales capacity or supporting sales activity
- Technical expertise in big data, data science, and cloud
- 3+ years of design and implementation experience with big data technologies (Hadoop, NoSQL, MPP, OLTP, OLAP) or full lifecycle data science solutions
Technologies
Databricks · ML · AI · big data · Hadoop · NoSQL · MPP · OLTP · OLAP · Python · R · Scala
About Databricks
Unified Data Intelligence Platform (lakehouse + Mosaic AI) used by 10,000+ orgs and 50%+ of the Fortune 500 for ETL, BI, ML, and GenAI.
Private Late
Source and classification
Technical pre-sales · Evidence for this classification:
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail 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
More from the job description
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail 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 Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strateg [... source excerpt omitted ...] erience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification 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 can
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