Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Selbetti Tecnologia

Senior Data Engineer – Databricks

Selbetti Tecnologia

. Manage and provide technical administration for the Data Lake environment .

Posted 11/6/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering and Data Architecture, with a focus on managing Data Lake environments and implementing best practices for scalability and efficiency. Capable of providing technical direction and supporting strategic decisions within the data ecosystem.

Highest-signal resume keywords
Data EngineeringData ArchitectureData Lake ManagementDatabricksArchitectural Best Practices

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringData ArchitectureData Lake ManagementArchitectural EvolutionScalability OptimizationEfficiency ImprovementGovernance Best Practices
Soft Skills
Autonomous WorkHolistic ViewTechnical Direction
Tools & Technologies
Databricks
Certifications & Qualifications
Databricks Certification
Industry Keywords
Data EcosystemTechnical AdministrationBest Practices

About the role

Key responsibilities & impact
  • Manage and provide technical administration for the Data Lake environment
  • Assess the current architecture, identifying opportunities for evolution, optimization, and improvement
  • Propose and implement architectural improvements focused on scalability, efficiency, and governance
  • Define and promote Data Engineering and Data Architecture best practices
  • Serve as a technical reference for the Data Engineering team
  • Support technical and strategic decisions related to the data ecosystem

Requirements

What you’ll need
  • Strong experience in Data Engineering and Data Architecture
  • Experience administering and managing Data Lake environments
  • Advanced knowledge of Databricks
  • Experience defining standards, best practices, and architectural evolution
  • Availability to work in a hybrid capacity in São Paulo
  • Ability to work autonomously, take a holistic view, and provide technical direction
  • Databricks certification is a plus