Senior Solutions Architect (Lakebase)
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with Account Executives and GTM leadership to design engagement strategies across your territory and drive adoption of Lakebase. You will act as a trusted advisor and technical champion, run workshops, build customer-facing collateral, feed field insights to Product and Engineering, and serve as the tier-3 escalation point for complex technical challenges.
Requirements
- 10+ years of transactional database (OLTP) expertise
- 10+ years in customer-facing, pre-sales or consulting roles influencing technical executives
- Experience integrating transactional systems with Big Data, Lakehouse and AI ecosystems
- Expertise in disaster recovery, high availability, backup, scale-out, identity and security, and migrations
- Experience with Global System Integrators
- Proficient in SQL and Python
- Hands-on experience with AWS, Azure or GCP
- Broad experience across two or more of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, streaming
- Undergraduate degree in a technical field
- Track record of driving complex projects to completion
Responsibilities
- Collaborate with GTM leadership and account teams on engagement strategies across your territory
- Serve as trusted advisor and technical champion to drive product adoption
- Enable clients through workshops and customer-facing collateral
- Translate field insights into recommendations for Product and Engineering
- Act as tier-3 escalation point for complex technical challenges