Solutions Architect - Lakebase

Databricks
São Paulo
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Stakeholder management","Technical credibility","Problem-solving","Cross-functional collaboration","Strategic communication"]

Design and execute high-impact engagement strategies within a local territory as a Solutions Architect for Lakebase. Partner with Account Executives to develop presentations, demos, and customer-facing collateral that drive informed adoption and product-line usage. Serve as a tier-3 technical escalation point for mission-critical environments, translate field insights into roadmap recommendations, and build solutions integrating transactional systems with Big Data, lakehouse, and AI ecosystems.

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FursaFursa
Databricks
Databricks
1 month ago

Solutions Architect - Lakebase

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Last checked: 3 hours agoStatus: Live

Job Summary

Design and execute high-impact engagement strategies within a local territory as a Solutions Architect for Lakebase. Partner with Account Executives to develop presentations, demos, and customer-facing collateral that drive informed adoption and product-line usage. Serve as a tier-3 technical escalation point for mission-critical environments, translate field insights into roadmap recommendations, and build solutions integrating transactional systems with Big Data, lakehouse, and AI ecosystems.
Location: São Paulo
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
  • •As a trusted advisor and expert Solutions Architect, build technical credibility with stakeholders to drive product adoption and vision.
  • •Enable clients at scale through workshops and by developing customer-facing collateral to increase technical knowledge and thought leadership.
  • •Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
  • •Act as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Key Requirements

  • •10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record designing and delivering client-facing solutions.
  • •Credibility influencing OLTP products using market insight to shape and prioritize roadmap capabilities.
  • •Experience architecting solutions that integrate transactional data systems within Big Data, Lakehouse, and AI ecosystems.
  • •Infrastructure, platform, and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, and migrations (vendor-to-vendor, on-prem to cloud).
  • •Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering, or similar.
Experience:10+ yearsTransactional databasesBig DataLakehouseAIPre-sales
Education:Bachelor's in Computer Science, Applied Mathematics, Engineering or similar
Skills:Stakeholder managementTechnical credibilityProblem-solvingCross-functional collaborationStrategic communication
Tech Stack:SQLPythonAWSAzureGCPBig DataLakehouseAIMLData engineeringData warehousingData governanceTransactional systemsApp developmentStreamingDisaster recoveryHigh availabilityIdentity managementSecurity managementApache Spark

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn