Delivery Solutions Architect
Hls
Posted on 3/28/2024
Databricks

5,001-10,000 employees

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

$4.2B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

14%

1 year growth

42%

2 year growth

123%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Sales
SQL
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • 7+ 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 including account, stakeholder, and resource management accountability
  • Experience resolving complex and important escalations with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
  • Track record of overachievement against quota, goals, or similar objective targets
Responsibilities
  • Collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform
  • Ensure customer success by increasing focus and technical accountability to complex customers
  • Lead the Post-Technical Win technical account strategy and investment plan for Databricks Use Cases
  • 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 to build the right 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
  • Provide internal and external updates and KPI reporting on the status of usage and customer health
  • Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers
  • Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews, and Upgrade needs