Sr. Delivery Solutions Engineer
Emerging Business
Updated on 11/30/2023
Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Data & Analytics
Company Stage
Series I
Total Funding
$4.7B
Founded
2013
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 17%1 year growth
↑ 46%2 year growth
↑ 119%Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Sales
SQL
Python
CategoriesNew
Business & Strategy
Requirements
- 3+ years of experience in technical project/program delivery within the domain of 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 related to distributed data systems
- Ability to attribute business value and outcomes to specific project deliverables
- Technical program or project management experience
- Experience resolving complex escalations with senior customer executives
- Experience conducting discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex programs/projects
- Track record of overachievement against quota or similar targets
Responsibilities
- Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
- Lead the Post-Technical Win technical account strategy and investment plan for Databricks Use Cases within strategic accounts
- Be the accountable technical leader assigned to specific Use Cases and customers across multiple selling teams and internal stakeholders
- Be the first contact for any technical issues or questions related to production/go live status of agreed-upon Use Cases within an account
- Leverage Shared Services and escalate to technical experts for tasks beyond your scope of activities or expertise
- Create, own, and execute a point-of-view on how key use cases can be accelerated into production
- Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews, and Upgrade needs
- Develop a mutual success plan that covers all customer-facing technical roles and teams
- Provide internal and external updates on usage and customer health
- Report KPIs on investment status, risks, product adoption, and use case progression
Desired Qualifications
- Experience in technical debate and design choices with customers
- Experience in technical architecture
- Experience in consulting
- Experience in data and AI domain
- Experience in solution architecture
- Experience in customer success
- Experience in programming languages such as Python, SQL, or Scala
- Experience in project management
- Experience in resolving complex escalations with senior customer executives
- Experience in conducting discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex programs/projects
- Track record of overachievement against quota or similar targets