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◆ 6/10
aitechOtherhybrid
About this role
Join Databricks as a Delivery Solutions Architect to empower customers in solving complex data problems. This hybrid role combines technical leadership with commercial strategy to drive customer success and product adoption.
Description
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
- Create, own, and execute a point-of-view as to how key use cases can be accelerated into production
- Provide internal and external updates - KPI reporting on the status of usage and customer health.
Requirements
- U.S. citizenship
- Top Secret Clearance
- 7+ years of experience in technical project/program delivery within Data and AI
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
Conditions & Benefits
- Comprehensive benefits and perks
- Commitment to diversity and inclusion
- Opportunities for travel up to 30% when needed.
Job Details
Market range (est.)$90k–$180k
LocationHybrid
AI Score★★★★★★☆☆☆☆ 6/10
PostedSep 24, 2026 (18d ago)
Tags & Skills
aitechOtherhybrid
Tech Stack
PythonSQLScala