Sr. Solutions Architect - Travel and Hospitality

Databricks Remote

SeniorRemoteFull-time $219,100 – $301,300 a year

About the role

This is a pre-sales solutions architect role for the Travel & Hospitality vertical within Databricks' Retail solutions team, open remotely. You'd act as the lead technical voice for up to nine enterprise accounts, guiding customers through adopting Databricks' data and AI platform. The role sits alongside an Account Executive and works closely with a team building proofs of concept.

What you’ll do

  • Serve as the main technical voice for Databricks across up to 9 client accounts
  • Lead customers through evaluating and adopting Databricks as part of their data strategy
  • Implement technical account strategy aligned with overall account strategy
  • Build a base of technical champions within each account
  • Align technical strategy around Databricks solutions
  • Provide structured mentorship to other team members

What they’re looking for

  • 6+ years of experience with large accounts ($1M ARR) in Retail and CPG
  • 4+ years in a pre-sales capacity or supporting sales activity
  • Technical grounding in big data, data science and cloud
  • Ability to drive data-driven business transformation and change
  • 3+ years designing and implementing big data technologies such as Hadoop, NoSQL, MPP, OLTP, OLAP, or full lifecycle data science solutions
  • Production programming experience in Python, R, Scala or Java

Nice to have

  • Databricks Certification

What’s on offer

  • Local pay range of $219,100–$301,300 USD
  • Eligibility for annual performance bonus and equity
  • Remote work, with candidates in other locations considered

Questions about this role

Is this role remote?

Yes, it's a remote position, though candidates in the listed locations are encouraged.

How much does it pay?

The local pay range listed is $219,100–$301,300 USD, with additional bonus and equity eligibility.

How many years of experience do I need?

6+ years in large enterprise accounts in Retail/CPG, plus 4+ years in pre-sales, and 3+ years with big data technologies.

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