Senior Data Engineer: Azure/Databricks & Lakehouse Expert

Publicis Groupe; Houston (TX); Hybrid; USD 104,000 - 120,000; Full time

Benefits offered by this job

Inclusive workplace

Learning opportunities

Competitive compensation

Work-life balance

Health benefits

Paid leave and holidays

Wellness program

Job summary

Publicis Sapient is seeking a hands-on Senior Data Engineer in Houston to design and implement scalable batch and streaming data pipelines. You will work with Databricks, Delta Lake, and Unity Catalog to ensure data quality, security, and governance across the analytics ecosystem.

This hybrid role collaborates with data architects, analysts, and business stakeholders. You will optimize workloads for performance and cloud cost, support CI/CD pipelines, and contribute to governance and compliance

Qualifications

• 5+ years of hands-on Data Engineering experience.
• 2+ years of hands-on Databricks experience.
• Strong proficiency in PySpark, Spark SQL, Databricks Workflows, Delta Lake, and Unity Catalog.
• Experience building scalable data pipelines and integration solutions.
• Strong SQL, troubleshooting, and performance-optimization skills.

Responsibilities

• Design, build, and optimize batch and streaming pipelines using Databricks, PySpark, Spark SQL, and Databricks Workflows.
• Develop scalable ingestion and ETL/ELT frameworks that integrate data from multiple enterprise sources.
• Implement Lakehouse architectures using Delta Lake and Medallion design patterns.
• Apply Unity Catalog for data cataloging, lineage, discovery, role-based access, and permission management.
• Establish automated data-quality controls, including validation, reconciliation, monitoring, and testing.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

Unity Catalog

SQL

Git

CI/CD

Terraform / IaC

Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Azure

AWS

GCP

Job description

Publicis Sapient is seeking a hands-on Senior Data Engineer in Houston to design and implement scalable batch and streaming data pipelines. You will work with Databricks, Delta Lake, and Unity Catalog to ensure data quality, security, and governance across the analytics ecosystem.

This hybrid role collaborates with data architects, analysts, and business stakeholders. You will optimize workloads for performance and cloud cost, support CI/CD pipelines, and contribute to governance and compliance