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SEIDOR

Data Architect / Data Engineer – Databricks Senior

SEIDOR

Data Engineer role at SEIDOR focusing on data architecture and scalable pipelines with Databricks and Delta Lake technologies. Collaborate with technical teams to define and implement data solutions.

Posted 7/23/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and evolving data platforms using Lakehouse architecture, with a strong focus on implementing solutions with Databricks, Delta Lake, and PySpark. Proficient in developing scalable data pipelines and ensuring governance and performance standards.

Highest-signal resume keywords
DatabricksPySparkSQLDelta LakeCloud (Azure, AWS, or GCP)

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data ModelingETLELTData Pipeline DevelopmentLakehouse Architecture
Soft Skills
DocumentationTechnical Support
Tools & Technologies
AirflowFabricSynapseData Factory
Certifications & Qualifications
Databricks CertificationCloud Certification
Industry Keywords
DataOpsCI/CD

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLGoogle Cloud PlatformPySparkSQL

About the role

Key responsibilities & impact
  • Design and evolve data platforms using Lakehouse architecture
  • Develop scalable pipelines
  • Define architecture, governance, and performance standards with Databricks, Delta Lake, and PySpark
  • Implement solutions on Databricks and Delta Lake
  • Support technical teams and document solutions

Requirements

What you’ll need
  • Experience with Databricks, PySpark, and SQL
  • Delta Lake and Lakehouse architecture
  • ETL/ELT and data modeling
  • Cloud (Azure, AWS, or GCP)
  • Preferred: Airflow, Fabric, Synapse, or Data Factory
  • DataOps/CI/CD and Databricks/Cloud certifications

Benefits

Comp & perks
  • Equal opportunities
  • Support for professional growth