Delivery Solutions Architect - Digital Native Business
Databricks5 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Lead post-technical-win account strategies and execution plans across multiple Databricks use cases.
- Own technical delivery for onboarding, enablement, go-live, production adoption, and healthy workload consumption.
- Coordinate Solutions Architects, Professional Services, Support, User Education, Onboarding and Technical Services, Product, and Engineering teams.
- Serve as the initial technical contact for production and go-live issues and escalate complex matters to expert resources.
- Create and execute plans for accelerating use cases into production, including Professional Services engagement proposals.
- Drive product adoption, user growth, cloud cost control, tuning, optimization, and executive and operational governance.
- Report customer usage, health, investment status, risks, product adoption, and use-case progression to the Technical GM.
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 customer-facing pre-sales, technical architecture, customer success, or consulting.
- Understanding of solution architecture for distributed data systems.
- Ability to connect business value and outcomes to specific project deliverables.
- Experience with technical program or project management, including account, stakeholder, and resource management.
- Experience resolving complex escalations with senior customer executives.
- Experience leading discovery workshops, strategic roadmaps, business analysis, and delivery of complex programs or projects.
- Track record of exceeding quota, goals, or similar 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 available.
- Hybrid role with up to 30% travel when needed.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.