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Solutions Architect - Lakebase

Databricks Mosaic · Sao Paulo, Brazil

CHECKED 13H AGO

Infrastructureonsitesenior
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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
More about Databricks Mosaic →
Apply on the lab’s site ↗