Solutions Architect (Lakebase)
Databricks Mosaic · Singapore
CHECKED 14H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Drive early-stage Lakebase adoption to establish product-market fit and growth.
- Serve as trusted Lakebase champion guiding clients on mission-critical use cases.
- Shape Lakebase roadmap by translating field insights for Product and Engineering.
Ideal candidate
A customer-obsessed technical advisor who thrives in early-stage products and complex enterprise engagements, passionate about translating client goals into adoption and shaping product vision.
Requirements
- 10+ years of transactional database (OLTP) expertise across engineering, product development, administration and pre-sales
- Proven track record designing and delivering client-facing 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 and security, migrations
- 6+ years in customer-facing pre-sales or consulting influencing technical executives
- Ability to co-plan territory with Account Executives and work cross-functionally across GTM and R&D
- Experience collaborating with Global System Integrators and consulting partners
- 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, app development
- Bachelor's degree or higher in Computer Science, Applied Mathematics, Engineering or similar
- Track record driving complex projects in fast-paced customer-facing environments
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