Delivery Solutions Architect - Startups & Emerging Enterprise
Databricks2 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Lead post-technical-win account strategy and execution for prioritized customer use cases.
- Own technical delivery plans that move use cases into production, including onboarding, enablement, go-live, and healthy workload consumption.
- Act as the first technical contact for production and go-live issues, escalating to subject matter experts as needed.
- Coordinate Shared Services, User Education, Onboarding and Technical Services, Support, Professional Services, Product, and Engineering teams.
- Create and execute plans for use-case acceleration, user growth, product adoption, cloud cost control, tuning, optimization, and governance.
- Build customer executive relationships, lead stakeholders, and provide KPI updates on usage, customer health, risks, investment status, adoption, and use-case progression.
Requirements
- At least 5 years of experience accountable for technical project or program delivery in Data and AI.
- Programming experience in Python, SQL, or Scala.
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- Understanding of solution architecture for distributed data systems and attribution of business value to project deliverables.
- Experience with technical program or project management, including accountability for accounts, stakeholders, and resources.
- Experience resolving complex, high-stakes escalations with senior customer executives.
- Experience conducting discovery workshops, creating strategic roadmaps, performing business analysis, and managing complex programs or projects.
- Track record of overachievement against quota, goals, or similar objective targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- Ability to travel up to 30% when needed.
Benefits
- Hybrid work arrangement
- Comprehensive benefits and perks, with details varying by region
- Travel of up to 30% when needed
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).