Delivery Solutions Architect
Databricks3 months ago
Responsibilities
- Lead post-technical-win account strategies and execution plans across the majority of Databricks use cases in strategic accounts.
- Own technical delivery for assigned customers and use cases, including onboarding, enablement, success, go-live, and healthy workload consumption.
- Serve as the first technical contact for production and go-live questions and issues.
- Coordinate Shared Services, User Education, Onboarding and Technical Services, Support, technical experts, and Professional Services resources.
- Create and execute plans to accelerate key use cases into production and coordinate Professional Services engagement proposals.
- Navigate Databricks Product and Engineering teams for product innovations, private previews, and upgrades.
- Develop execution plans covering production use cases, user growth, product adoption, cloud cost control, optimization, and executive governance.
- Build customer and executive relationships, lead stakeholders, orchestrate internal teams, and drive customer growth.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression.
Requirements
- At least 5 years of experience delivering technical projects or programs in Data and AI, with the ability to contribute to customer technical debates and design decisions.
- Programming experience in Python or Spark.
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- Understanding of solution architecture for distributed data systems.
- Understanding of how to connect business value and outcomes to project deliverables.
- Experience with technical program or project management, including account, stakeholder, and resource management accountability.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting discovery workshops, developing strategic roadmaps, performing business analysis, and managing complex programs or projects.
- Track record of exceeding quota, goals, or comparable objective targets.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive employee benefits and perks, with region-specific details provided separately.
- Hybrid work arrangement.
- Up to 30% travel 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).