Senior Databricks & Azure Data Platform Engineer

Kestra Holdings; Tempe (AZ); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive pay and benefits

401(k) and health insurance

Opportunities for training and development

Job summary

A leading wealth management firm in Tempe, Arizona is seeking a seasoned Databricks Data Engineer to design and optimize data pipelines on the Databricks Lakehouse platform. The role demands expertise in Azure cloud services, SQL, Python, and ETL/ELT frameworks to modernize data ecosystems. Candidates should have over 8 years of experience in data engineering, a strong background in compliance practices, and the ability to work with financial datasets. This position offers competitive benefits and a collaborative work environment.

Qualifications

• 8+ years of experience in data engineering and data warehousing.
• Expertise in modern data pipeline development in cloud environments.
• Proven leadership in coordinated data initiatives across organizations.

Responsibilities

• Design and optimize data pipelines on Databricks Lakehouse.
• Modernize Azure-based data architectures with distributed data engineering.
• Develop ETL/ELT pipelines using Python and Databricks tools.

Skills

SQL

Python

Databricks

ETL/ELT frameworks

Azure cloud services

PySpark

Apache Airflow

Tools

Snowflake

Delta Lake

Unity Catalog

Job description

A leading wealth management firm in Tempe, Arizona is seeking a seasoned Databricks Data Engineer to design and optimize data pipelines on the Databricks Lakehouse platform. The role demands expertise in Azure cloud services, SQL, Python, and ETL/ELT frameworks to modernize data ecosystems. Candidates should have over 8 years of experience in data engineering, a strong background in compliance practices, and the ability to work with financial datasets. This position offers competitive benefits and a collaborative work environment.