Senior Databricks Data Engineer: Lakehouse on Azure (Hybrid)

Sapient Corporation; Houston (TX); Hybrid; USD 104,000 - 120,000; Full time

Benefits offered by this job

Inclusive workplace and collaboration

Learning and development opportunities

Competitive compensation and benefits

Work-life balance flexibility

Comprehensive health benefits for you

Generous paid leave and holidays

Wellness program and employee support

Job summary

Publicis Sapient in Houston is seeking a hands-on Senior Associate, Data Engineering to design and implement scalable batch and streaming data pipelines. The role emphasizes Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog, with a focus on data governance, security, and trust across the analytics ecosystem.

You will collaborate with data architects, analysts, data scientists, and business stakeholders to deliver Lakehouse solutions and CI/CD-enabled deployments in a hybrid work

Qualifications

• 5+ years of hands-on Data Engineering experience.
• 2+ years of hands-on Databricks experience.
• Strong SQL, troubleshooting, and performance-optimization skills.
• Experience with Azure, AWS, or GCP data services.

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

Cloud platforms

Data governance

CI/CD

Git

SQL

Communication

Education

Bachelor's degree (CS/Engineering/IS)

Tools

Azure

AWS

GCP

Databricks Workflows

Terraform

Airflow

Kafka

Job description

Publicis Sapient in Houston is seeking a hands-on Senior Associate, Data Engineering to design and implement scalable batch and streaming data pipelines. The role emphasizes Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog, with a focus on data governance, security, and trust across the analytics ecosystem.

You will collaborate with data architects, analysts, data scientists, and business stakeholders to deliver Lakehouse solutions and CI/CD-enabled deployments in a hybrid work