Post-Sales Delivery Solutions Architect

Databricks

Austin (TX)

Hybrid

USD 180,000 - 248,000

Full time

14 days+

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Job summary

Databricks in Austin is seeking a Delivery Solutions Architect to drive post-sale technical leadership and strategic outcomes for our most complex customers.

You will engage with sales and field engineering, orchestrate services, and align workloads with Databricks Lakehouse platform, ensuring onboarding, adoption, and healthy consumption.

This hybrid role balances technical credibility with commercial accountability, reporting to a DSA Manager in Field Engineering.

Qualifications

  • 5+ years delivering technical projects in Data/AI.
  • Experience in customer-facing roles.
  • Understanding of distributed data systems.
  • Ability to map business value to deliverables.
  • Strong program and stakeholder management.
  • Experience with escalation handling at senior levels.

Responsibilities

  • Lead post-technical account strategy and execution.
  • Be the primary technical lead across Databricks products.
  • Coordinate with PS and other resources to deliver engagements.
  • Communicate status updates and KPI reporting to Technical GM.

Skills

Data & AI delivery
Python/SQL/Scala
Pre-sales / consulting
Solution architecture
Business value attribution
Program/project management
Executive escalation management
Discovery workshops
Strategic roadmaps
Quota attainment
Bachelor's degree in CS/IS/Engineering
Travel up to 30%

Education

Bachelor's degree in Computer Science, Information Systems, Engineering

Job description

Databricks in Austin is seeking a Delivery Solutions Architect to drive post-sale technical leadership and strategic outcomes for our most complex customers.

You will engage with sales and field engineering, orchestrate services, and align workloads with Databricks Lakehouse platform, ensuring onboarding, adoption, and healthy consumption.

This hybrid role balances technical credibility with commercial accountability, reporting to a DSA Manager in Field Engineering.

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