Senior Databricks Developer - Lakehouse Data Engineer

Publicis Digital Experience; Irving (TX); On-site; USD 89,000 - 127,000; Full time

Benefits offered by this job

Wellness benefits

Adoption support

Tuition assistance

Flexible work arrangements

Job summary

Publicis Digital Experience seeks a Senior Databricks Developer to design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. You will develop reliable batch and streaming pipelines, transform large datasets, and deliver governed data products for analytics, marketing, and CRM use cases.

You will collaborate with QA, business analysts, project managers, and client teams to translate requirements into secure, maintainable data solutions,

Qualifications

• Bachelor’s degree in CS, Engineering, Information Systems, or related field.
• 5+ years of data engineering, database development, or data warehouse development experience.
• 3+ years of hands-on Databricks and Apache Spark development in production.
• Knowledge of Delta Lake, medallion architecture, Unity Catalog, data governance and access controls.
• Experience with CI/CD and production deployment practices.

Responsibilities

• Design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform.
• Develop reliable batch and streaming pipelines and deliver governed data products for analytics, marketing, and CRM use cases.
• Collaborate with QA, PMs, data architects, and client teams to translate requirements into secure data solutions.
• Optimize Spark workloads and implement production monitoring and support practices.

Skills

Databricks

Apache Spark

PySpark

Python

SQL

Delta Lake

Data Modeling

ETL/ELT pipelines

Structured Streaming

Performance tuning

CI/CD practices

Spark tuning

Cloud storage (S3/ADLS)

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems

Tools

Azure DevOps

GitHub Actions

Job description

Publicis Digital Experience seeks a Senior Databricks Developer to design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. You will develop reliable batch and streaming pipelines, transform large datasets, and deliver governed data products for analytics, marketing, and CRM use cases.

You will collaborate with QA, business analysts, project managers, and client teams to translate requirements into secure, maintainable data solutions,