Senior Databricks Data Engineer - Enterprise Cloud & AI

Deloitte France; Minneapolis (MN); On-site; USD 116,000 - 229,000; Full time

Job summary

Deloitte France seeks an experienced Databricks Engineer to architect and optimize cloud-based data solutions across AWS, Azure, and GCP. You will lead data engineers, optimize pipelines, ensure governance and security, and enable AI/analytics use cases for enterprise-scale transformation.

The role involves traveling up to 50% and delivering scalable data platforms with strong collaboration across business and technology teams. A Bachelor's in CS/Engineering is required; Master's preferred.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years hands-on data engineering with Databricks on AWS/Azure/GCP
• Experience with Lakehouse architecture, Spark, Delta Lake, cloud-native databases
• Experience with data warehousing, 3NF, dimensional modeling, data lakes, data quality frameworks
• 1+ year leading complex data projects and teams, CI/CD pipelines, performance optimization
• Ability to travel ~50% and willingness for sponsorship considerations

Responsibilities

• Establish data architecture, integration, and modelling best practices
• Oversee design, development, and maintenance of large-scale data pipelines
• Improve data quality, efficiency, and scalability of processes
• Lead data engineers and architects, drive project delivery
• Design governance, security, and compliance for cloud data ecosystems
• Communicate complex concepts to executives and teams
• Oversee CI/CD implementations using tooling like Azure DevOps/Jenkins/TFS

Skills

Databricks

Cloud platforms

Leadership

Communication

Independent work

Project management

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

AWS

Azure

GCP

Delta Lake

Spark

Job description

Deloitte France seeks an experienced Databricks Engineer to architect and optimize cloud-based data solutions across AWS, Azure, and GCP. You will lead data engineers, optimize pipelines, ensure governance and security, and enable AI/analytics use cases for enterprise-scale transformation.

The role involves traveling up to 50% and delivering scalable data platforms with strong collaboration across business and technology teams. A Bachelor's in CS/Engineering is required; Master's preferred.