Senior Databricks Data Engineer - Cloud Analytics & AI

Deloitte France

Los Angeles (CA)

On-site

USD 116,000 - 229,000

Full time

14 days+
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Job summary

Deloitte seeks a Databricks Engineer to design, build, and optimize cloud-based data solutions that support enterprise-scale transformation. You will modernize data platforms, enable analytics, and drive measurable business outcomes with data engineering and governance in a cloud-first environment.

The role emphasizes collaboration, leadership of data teams, and delivering scalable pipelines while maintaining security and compliance across multi-cloud platforms.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on data engineering with a focus on Databricks on AWS, Azure, or GCP.
  • Experience with Lakehouse architecture, Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms.
  • Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark.
  • 1+ year leading complex, cross-functional data projects and technical teams, including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, CI/CD pipelines, and performance optimization.
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Responsibilities

  • Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.
  • Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.
  • Drive Excellence: Initiate and manage efforts to improve data quality, operational efficiency, and process scalability.
  • Team and Technology Lead: Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects, fostering technical growth and effective project delivery.
  • Data Governance: Consult on, design, and implement governance, security, and compliance strategies tailored to modern cloud data ecosystems.
  • Communication: Communicate technical concepts and business value to diverse stakeholders, including executives, business leads, and technology teams.
  • DevOps and Automation: Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell for streamlined deployments and operations.

Skills

Team collaboration
Communication skills
Detail oriented
Relationship building
Project leadership
Prioritization
Professional demeanor
Deadline driven

Education

Bachelor's degree in CS/Engineering
Master's degree in CS/Engineering

Tools

Databricks
Apache Spark
Delta Lake
Airflow
CI/CD pipelines
PySpark
Unity Catalog
Databricks Workflows

Job description

Deloitte seeks a Databricks Engineer to design, build, and optimize cloud-based data solutions that support enterprise-scale transformation. You will modernize data platforms, enable analytics, and drive measurable business outcomes with data engineering and governance in a cloud-first environment.

The role emphasizes collaboration, leadership of data teams, and delivering scalable pipelines while maintaining security and compliance across multi-cloud platforms.

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