Databricks Senior Consultant: Data Platform & ETL Architect

Unison Group; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Unison Group is seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks in the San Francisco area. The role emphasizes data engineering, cloud technologies, ETL development, and big data processing to support analytics, AI, and business intelligence initiatives.

The candidate will design scalable data pipelines, implement Delta Lake architectures, and mentor peers.

Qualifications

• Extensive experience designing data platforms on Databricks.
• Proficient in building scalable DS pipelines and ETL/ELT processes.
• Strong knowledge of cloud platforms and data security.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT workflows with PySpark and Spark SQL.
• Develop and manage Delta Lake architecture for reliable data processing.
• Integrate data from databases, APIs, streaming platforms, and cloud storage.
• Collaborate with stakeholders to understand business requirements.
• Optimize Spark jobs for performance, scale, and cost efficiency.
• Implement data quality, governance, and security best practices.
• Monitor production workloads and troubleshoot performance issues.
• Automate deployment using CI/CD pipelines.
• Mentor junior team members and provide technical guidance.

Skills

Databricks Platform

Apache Spark

PySpark

Spark SQL

Delta Lake

Unity Catalog

Databricks Workflows

AWS

Azure

GCP

SQL

CI/CD / DevOps

Tools

Git

Azure Data Factory

Apache Airflow

Databricks CLI

Python

Job description

Unison Group is seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks in the San Francisco area. The role emphasizes data engineering, cloud technologies, ETL development, and big data processing to support analytics, AI, and business intelligence initiatives.

The candidate will design scalable data pipelines, implement Delta Lake architectures, and mentor peers.