Pre-sales Solutions Architect focused on Retail/CPG accounts. Partners with AEs to define technical strategy, drive ML/AI adoption of Databricks platform, build technical champions, and lead data-driven transformations at large enterprise customers.
180k – 248k
Hybrid5+ YOESolutions Architecture
About the role
Impact
Work with 1-5 clients as the main technical voice for Databricks
Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy
Implement the technical strategy in the account
Build a movement of technical champions within the account
Align technical strategies around Databricks solutions
Provide structured mentorship for other team members
Requirements
5+ years of experience working very large (> $1m ARR) accounts from the Retail and CPG related space
3+ years working in a pre-sales capacity or supporting sales activity
Technical background in big data, data science and cloud
Ability in data-driven business transformation, and driving change with data
3+ years of experience with design and implementation in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
Experience maintaining and extending production data systems to evolve with complex customer needs
Production programming experience in Python, R, Scala or Java
Nice-to-Haves
Databricks Certification
Compensation and 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)
Pay Range (Zone 2): $180,000—$247,500 USD (base or OTE; total compensation may include annual performance bonus and equity)
Skills
Big DataData ScienceCloudHadoopNoSQLMppOltpOlapPythonRScalaJavaMachine LearningAIPre-Sales
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Pre-sales Solutions Architect focused on Retail/CPG accounts. Leads technical strategy for large enterprise customers to drive Databricks adoption, ML/AI use cases, data transformation, and build technical champions. Requires 5+ years in large accounts and 3+ years pre-sales with big data/cloud expertise.
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