About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Responsibilities
- Grow a team of Partner Solutions Architects for a company in high-growth mode.
- Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions.
- Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product)
- Establish relationships across the business to make your partners and our customers successful.
- Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values
- Drive Customer Success and DBU consumption through consulting partners
- Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives
Requirements
- Experience hiring and managing field or technical teams from scratch at hyper-growth speed
- 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS
- Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to promote efficiency
- Bachelor's Degree in STEM subject, or MSc desirable
- Technical background either in Data Engineering / Database technologies or Data Science