Databricks Tech Lead - Senior Data Engineer (Onsite Irvine)

Ravh-IT; Irvine (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Ravh-IT in Irvine, CA is seeking an experienced Databricks Technical Lead to design, develop, and implement scalable data engineering solutions. The role requires leadership, hands-on development, and collaboration with stakeholders to deliver enterprise-grade data pipelines.

The ideal candidate has 10+ years in IT or data engineering, deep Databricks and Spark expertise, and strong Python/SQL skills. Onsite work in Irvine with cloud experience on Azure or AWS is expected.

Qualifications

• 10-15+ years of experience in IT, data engineering, or data platform development.
• Strong hands-on experience with Databricks and Apache Spark.
• Expertise in Python, PySpark, and advanced SQL.
• Experience with Delta Lake, Lakehouse architecture, and data modeling.
• Experience developing and optimizing large-scale data pipelines.

Responsibilities

• Lead the design and development of scalable data pipelines using Databricks and Spark.
• Develop and optimize ETL/ELT workflows using Python, PySpark, and SQL.
• Design and implement data lakehouse architectures and Delta Lake solutions.
• Build, maintain, and optimize batch and streaming data processing pipelines.
• Collaborate with cloud platforms like Azure or AWS to develop reliable data engineering solutions.
• Implement data quality checks, error handling, monitoring, and performance tuning.
• Lead technical discussions, code reviews, and solution design sessions.
• Mentor developers and establish coding standards and best practices.
• Collaborate with data architects, business analysts, and cross-functional teams to translate requirements into technical solutions.
• Ensure data security, governance, scalability, and reliability across data platforms.

Skills

Databricks

Apache Spark

Python

PySpark

SQL

Data modeling

Tools

Azure

AWS

Job description

Ravh-IT in Irvine, CA is seeking an experienced Databricks Technical Lead to design, develop, and implement scalable data engineering solutions. The role requires leadership, hands-on development, and collaboration with stakeholders to deliver enterprise-grade data pipelines.

The ideal candidate has 10+ years in IT or data engineering, deep Databricks and Spark expertise, and strong Python/SQL skills. Onsite work in Irvine with cloud experience on Azure or AWS is expected.