Solutions Architect, Retail - Chicago, United States - Databricks

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  • Solutions Architect, Retail & Consumer Goods Chicago, Illinois

    We will only consider candidates based in Chicago, Texas, and Arizona. This role will require travel.

    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 Retail and CPG 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 1-5 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
  • What we look for:

  • 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 health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)