Solutions Architect - Retail, Travel & Hospitality @Databricks
All Others
Salary usd 180,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Solutions Architect - Retail, Travel & Hospitality @Databricks

2mths ago - Databricks is hiring a remote Solutions Architect - Retail, Travel & Hospitality. πŸ’Έ Salary: usd 180,000 - 247,500 per year πŸ“Location: USA

Role Description

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.

  • 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 strategies around Databricks solutions.
  • You will provide structured mentorship for other team members.

Qualifications

  • 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space.
  • 3+ years working in a pre-sales capacity or supporting sales activity.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • 3+ years of experience 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.

Requirements

  • 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space.
  • 3+ years working in a pre-sales capacity or supporting sales activity.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • 3+ years of experience 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.

Benefits

  • Comprehensive benefits and perks that meet the needs of all employees.
  • Eligibility for annual performance bonus, equity, and other benefits.

Company Description

Databricks is the data and AI company. More than 10,000 organizations worldwide β€” including Comcast, CondΓ© Nast, Grammarly, and over 50% of the Fortune 500 β€” rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Sparkβ„’, Delta Lake and MLflow.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Solutions Architect - Retail, Travel & Hospitality @Databricks
All Others
Salary usd 180,000 - 2..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted 2mths ago
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
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Offer Accepted βœ“
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