Full-Time

Delivery Solutions Architect

Databricks

Databricks

5,001-10,000 employees

Unified, open platform for enterprise data

Data & Analytics

Senior

Austin, TX, USA

Requirements
  • 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers
  • 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 distributed data systems
  • A understanding of how 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 escalation with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
  • Track record of overachievement against quota, Goals or similar objective targets
Responsibilities
  • You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers
  • Lead the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts
  • Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
  • You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
  • Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts to build the right tasks that are beyond your scope of activities or expertise
  • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals
  • Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs
  • Develop mutual success plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
  • Main use cases moving from 'win' to production
  • Enablement / user growth plan
  • Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
  • Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
  • Executive and operational governance
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

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.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

12%

1 year growth

46%

2 year growth

126%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave

INACTIVE