Sr. Solutions Architect - Lakebase
Databricks Mosaic · Berlin, Germany; Munich, Germany · Munich, Germany
CHECKED 15H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Champion Lakebase adoption to establish product-market fit and rapid revenue growth.
- Serve as tier-3 escalation for the most complex Lakebase customer challenges.
- Shape Lakebase roadmap by translating field insights for Product and Engineering.
Ideal candidate
A trusted customer-facing architect with deep transactional database credibility who loves landing early-stage products, partnering closely with sales, and turning field insight into product impact.
Requirements
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration and pre-sales
- Proven track record designing and delivering client-facing OLTP solutions
- Experience architecting solutions integrating transactional systems with Big Data, Lakehouse and AI ecosystems
- Expertise in disaster recovery, high availability, backup and recovery, scale-out, identity/security and migrations
- 6+ years in customer-facing pre-sales or consulting influencing technical executives
- Proven ability to co-plan territories with Account Executives across GTM and R&D teams
- Experience collaborating with Global System Integrators and consulting organizations
- Proficient in SQL and Python for programming, debugging and problem-solving
- Hands-on experience building solutions on AWS, Azure or GCP
- Broad experience across data engineering, warehousing, AI/ML, governance, streaming and app development
- Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering or similar
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration