Senior Databricks Data Engineer — Enterprise AI

Deloitte France; Kansas City (MO); On-site; USD 116,000 - 229,000; Full time

Job summary

Deloitte's AI & Data practice seeks a Databricks Engineer to design, build, and optimize cloud-based data engineering solutions that support enterprise transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and AI use cases, and drive measurable business outcomes.

You will champion best practices, lead data pipelines, and coach teams while navigating governance, security, and CI/CD in cloud environments across AWS, Azure, and GCP.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of hands-on data engineering experience with Databricks on AWS/Azure/GCP.
• Experience with Lakehouse architecture, Spark, Delta Lake, and cloud-native storage.
• 1+ year leading cross-functional data projects and teams.

Responsibilities

• Establish best practices for data architecture, integration, and modelling.
• Oversee design and maintenance of data pipelines for enterprise-scale needs.
• Drive data quality, operational efficiency, and scalable processes.
• Lead teams of data engineers and architects and foster growth.
• Consult on governance, security, and compliance for cloud data ecosystems.
• Communicate complex technical concepts to executives and stakeholders.
• Implement CI/CD for data engineering pipelines and automate deployments.

Skills

Independent work

Team collaboration

Written communication

Verbal communication

Attention to detail

Relationship building

Project leadership

Task prioritization

Interpersonal skills

Deadline adherence

Education

Bachelor's degree

Tools

Databricks

Apache Spark

Delta Lake

CI/CD pipelines

Cloud platforms (AWS/Azure/GCP)

Job description

Deloitte's AI & Data practice seeks a Databricks Engineer to design, build, and optimize cloud-based data engineering solutions that support enterprise transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and AI use cases, and drive measurable business outcomes.

You will champion best practices, lead data pipelines, and coach teams while navigating governance, security, and CI/CD in cloud environments across AWS, Azure, and GCP.