Databricks Lakehouse Architect — Lead Platform & AI Delivery (Remote)

100 Primoris Services Corporation; Town of Texas (WI); Remote; USD 165,000 - 200,000; Full time

Benefits offered by this job

401k w/employer match

Health/Dental/Vision insurance plans

Paid time off

10 paid holidays

Stock purchase plan

Job summary

Primoris Services Corp. seeks a Databricks Senior Architect to lead the Databricks Lakehouse architecture, guiding data engineering, analytics, and AI/ML workloads.

You will drive platform patterns, security, and governance while mentoring engineers and coordinating with IT, business teams, and partners for production delivery. You will design scalable, cost-aware solutions, align with enterprise standards, and ensure reliable, observable operations across multiple teams, including offshore

Qualifications

• Bachelor’s degree required with 8+ years in data/analytics/AI roles.
• Proven Databricks architecture and Azure experience.
• Hands-on with PySpark, Python, SQL, and large-scale data systems.

Responsibilities

• Define end-to-end Databricks Lakehouse architecture and patterns.
• Provide technical leadership and delivery oversight across hybrid/remote teams.
• Govern data security, governance, and compliance with Unity Catalog and RBAC.
• Mentor engineers and develop reusable assets.

Skills

Databricks architecture

Python PySpark

SQL

Technical leadership

Stakeholder management

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent

Tools

Auto Loader

Delta Live Tables

Unity Catalog

Delta Lake

Azure security concepts

Job description

Primoris Services Corp. seeks a Databricks Senior Architect to lead the Databricks Lakehouse architecture, guiding data engineering, analytics, and AI/ML workloads.

You will drive platform patterns, security, and governance while mentoring engineers and coordinating with IT, business teams, and partners for production delivery. You will design scalable, cost-aware solutions, align with enterprise standards, and ensure reliable, observable operations across multiple teams, including offshore