Solutions Architect - Lakebase
Databricks Mosaic · Sao Paulo, Brazil
CHECKED 13H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Drive Lakebase adoption across regional accounts with dedicated AEs.
- Serve as trusted Lakebase champion building technical credibility.
- Shape Lakebase roadmap from field insights for Product and Engineering.
Ideal candidate
A customer-obsessed technical advisor passionate about transactional data systems who thrives partnering with sales to land early-stage products and turn complex challenges into successful adoption.
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 role influencing technical executives
- Ability to co-plan large territories with Account Executives across GTM and R&D teams
- Experience collaborating with Global System Integrators and third-party consulting organizations
- Proficient in programming, debugging and problem-solving using SQL and Python
- Hands-on experience building solutions on AWS, Azure or GCP
- Broad experience in two or more areas: data engineering, warehousing, AI, ML, governance, transactional systems, app development, streaming
- Undergraduate degree or higher in Computer Science, Applied Mathematics, Engineering or similar
- Track record driving complex projects to completion 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