Senior Databricks Engineer — Remote Data Platform Lead

Concentrix; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote / Work at Home

Job summary

Concentrix is seeking a Senior Databricks Engineer in the United States to own end-to-end data pipelines and lakehouse models using Databricks on Azure, AWS, or GCP, delivering scalable ingestion, transformation, and analytics capabilities.

You will guide other data engineers, establish standards, and partner with stakeholders to ensure production-ready data solutions that balance performance, governance, and cost.

Qualifications

• 10+ years of professional experience in data engineering, data and analytics, or data warehousing.
• 5+ years of hands-on experience with Databricks in a data engineering capacity, including production workloads.
• 5+ years of experience with Python, PySpark, Spark SQL, and data manipulation of large datasets.
• 3+ years of data engineering experience on cloud services such as Azure, AWS, or GCP.

Responsibilities

• Design, develop, and maintain robust batch and streaming data pipelines.
• Build and manage lakehouse data models and ensure data quality and governance.
• Lead design reviews, establish engineering standards, and guide junior data engineers.
• Collaborate with cross-functional teams to meet business, performance, and analytics requirements.
• Optimize performance and cost across Delta tables, Spark workloads, and cloud services.

Skills

Data engineering

Databricks

Python

PySpark

SQL

Tools

Databricks

Azure

AWS

GCP

Job description

Concentrix is seeking a Senior Databricks Engineer in the United States to own end-to-end data pipelines and lakehouse models using Databricks on Azure, AWS, or GCP, delivering scalable ingestion, transformation, and analytics capabilities.

You will guide other data engineers, establish standards, and partner with stakeholders to ensure production-ready data solutions that balance performance, governance, and cost.