Solutions Architect, Retail

Databricks Databricks · Data AI · San Francisco, CA · Field Engineering

Solutions Architect for Databricks in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The role involves driving adoption of ML & AI, leading technical strategy, and acting as the main technical voice for clients, leveraging expertise in data-driven transformation and big data technologies.

What you'd actually do

  1. You will work with up to 9 clients as the main technical voice for Databricks
  2. You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  3. You will implement the technical strategy in the account, in close understanding of the strategy
  4. Build a movement of technical champions within the account
  5. Align technical strategies around Databricks solutions

Skills

Required

  • 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

What the JD emphasized

  • must understand the relevance and application of ML & AI