Databricks

Sr. Solutions Engineer, Retail - CPG

Databricks
remote senior full-time Illinois
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First indexed 18 Apr 2026

Description

We are looking for a Senior Solutions Engineer to join our team. As a Senior Solutions Engineer, you will work with large enterprises in the Retail and CPG space to help them become more data-driven. You will define and direct the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI.

You will work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives. You will also work with a team of engineers to build proofs of concept and demonstrate our products.

The ideal candidate will have a strong background in value selling, technical account management, and technical leadership. They will also have a solid understanding of big data, data science, and cloud technologies.

Responsibilities:

  • Define and direct the technical strategy for our largest and most important accounts
  • Work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives
  • Collaborate with a team of engineers to build proofs of concept and demonstrate our products
  • Provide technical guidance and support to customers
  • Work with customers to identify and address technical issues

Requirements:

  • 5+ years of experience working with large enterprises in the Retail and CPG space
  • 3+ years of experience in a pre-sales capacity or supporting sales activity
  • Strong background in value selling, technical account management, and technical leadership
  • Solid understanding of big data, data science, and cloud technologies
  • Experience with design and implementation of big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP
  • Production programming experience in Python, R, Scala, or Java

Nice to have:

  • Databricks Certification
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/7507778002