Databricks Architect: Lead Scalable Data Platforms

Ensisinfo Inc; California; On-site; USD 140,000 - 190,000; Full time

Job summary

Ensisinfo Inc in Carmichael, CA is seeking an experienced Databricks Architect to design, build and optimize enterprise-scale data architectures and lead multiple complex data projects. You will shape data platforms, mentor teams, and collaborate with stakeholders to align technology with business goals.

The role demands deep expertise in Databricks, Apache Spark and Delta Lake, and strong communication skills to navigate cross-functional priorities across cloud environments.

Qualifications

• Proven experience as a Databricks Architect or Senior Data Engineer
• Deep expertise in Databricks, Apache Spark, and Delta Lake
• Strong background in designing and implementing enterprise-scale data architectures
• Experience managing multiple projects simultaneously with competing priorities
• Proficiency in Python, SQL, or Scala for data processing and transformation
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Excellent communication and stakeholder management skills

Responsibilities

• Design, build, and optimize scalable Databricks solutions and data architectures
• Lead and manage multiple concurrent data engineering and analytics projects
• Develop and maintain data pipelines using Databricks, Delta Lake, and Apache Spark
• Collaborate with cross-functional teams to define data strategy and best practices
• Evaluate and implement new data technologies to improve performance and scalability
• Ensure data quality, governance, and security across all data platforms
• Provide technical guidance and mentorship to data engineering teams

Skills

Communication

Stakeholder management

Leadership

Tools

Databricks

Apache Spark

Delta Lake

Python

SQL

Scala

AWS

Azure

GCP

Job description

Ensisinfo Inc in Carmichael, CA is seeking an experienced Databricks Architect to design, build and optimize enterprise-scale data architectures and lead multiple complex data projects. You will shape data platforms, mentor teams, and collaborate with stakeholders to align technology with business goals.

The role demands deep expertise in Databricks, Apache Spark and Delta Lake, and strong communication skills to navigate cross-functional priorities across cloud environments.