Senior Solutions Architect — Retail & CPG AI Transformation

Databricks Inc.; United States; Remote; USD 219,000 - 301,000; Full time

Benefits offered by this job

Remote role

Job summary

Databricks is seeking experienced pre-sales professionals to serve as the main technical voice for 1–5 Retail and CPG accounts in the United States. You will lead customers through a transformational journey to adopt Databricks, implementing the technical strategy and building champions within the account.

You will collaborate with hands-on resources, demonstrate PoCs, and apply your background in ML/AI relevance across use cases in Retail and CPG.

Qualifications

• 8+ years in very large Retail/CPG accounts (> $1m ARR).
• 4+ years in a pre-sales capacity or supporting sales.
• Technical in big data, data science, and cloud.
• Ability to drive data-driven business transformation.
• 4+ years design/implementation with Hadoop, NoSQL, MPP, OLTP/OLAP or end-to-end data science solutions.
• Production programming experience in Python, R, Scala, or Java.
• Nice to have: Databricks Certification.

Responsibilities

• Be the main technical voice for 1-5 clients.
• Lead customers on a transformational journey to adopt Databricks.
• Implement the technical strategy in the account with a close understanding of the strategy.
• Build a movement of technical champions within the account.
• Align technical strategies around Databricks solutions.
• Provide structured mentorship for other team members.

Skills

Pre-sales

Big data

Data science

Cloud

Data transformation

Python

R

Scala

Java

Hadoop

NoSQL

MPP

OLTP

OLAP

Databricks cert

Job description

Databricks is seeking experienced pre-sales professionals to serve as the main technical voice for 1–5 Retail and CPG accounts in the United States. You will lead customers through a transformational journey to adopt Databricks, implementing the technical strategy and building champions within the account.

You will collaborate with hands-on resources, demonstrate PoCs, and apply your background in ML/AI relevance across use cases in Retail and CPG.