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Callista

Senior Databricks Architect

Callista

Senior Databricks Architect designing and delivering scalable data platforms for clients. Collaborating with stakeholders to define data architecture, governance, and best practices.

Posted 7/8/2026full-timeRemote • 🇨🇭 SwitzerlandSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing Databricks Lakehouse architectures and scalable data solutions using Medallion Architecture. Proficient in data engineering best practices, governance frameworks, and stakeholder management in enterprise environments.

Highest-signal resume keywords
Databricks Lakehouse ArchitectureApache Spark (PySpark/Scala)Delta LakeCI/CDDatabricks Data Engineer Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ArchitectureMedallion ArchitectureDatabricks SQLDelta Live TablesWorkflowsTerraformAzure DevOpsGitHub ActionsEnterprise Data Platforms
Soft Skills
Stakeholder ManagementClient-Facing Communication
Tools & Technologies
Azure DatabricksAWSGCPUnity CatalogDatabricks Asset Bundles
Certifications & Qualifications
Databricks Data Engineer Certification
Industry Keywords
Life SciencesPharmaceuticalsChemicalsCDMOGxPALCOA+LIMSVeeva

Tech Stack

Tools & technologies
ApacheAWSAzureCloudGoogle Cloud PlatformPySparkScalaSparkSQLTerraformUnity

About the role

Key responsibilities & impact
  • Design and implement modern Databricks Lakehouse architectures
  • Develop scalable batch and streaming solutions using Medallion Architecture (Bronze/Silver/Gold)
  • Define platform standards, governance, and best practices
  • Collaborate with engineering teams to deliver secure, high-performance data solutions
  • Advise stakeholders on enterprise data architecture and cloud strategies

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering or Information Technology
  • Extensive hands-on experience in data engineering and architecture, including 3+ years of hands-on Databricks experience
  • Strong expertise in Apache Spark (PySpark/Scala), Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, and Workflows
  • Experience with Azure Databricks (preferred), AWS or GCP
  • Hands-on experience with CI/CD, Terraform, Databricks Asset Bundles, and Azure DevOps or GitHub Actions
  • Proven track record designing enterprise data platforms and governance frameworks
  • Databricks Data Engineer or Architect certification is highly desirable
  • Experience in Life Sciences, Pharmaceuticals, Chemicals, or CDMO environments is a strong advantage
  • Knowledge of GxP, ALCOA+, LIMS, Veeva, or clinical/commercial systems is beneficial
  • Strong stakeholder management and client-facing communication skills
  • Fluent English is required; German is an advantage

Benefits

Comp & perks
  • Flexible working arrangements
  • Professional development opportunities