Databricks Architect — Lakehouse Lead (Contract, Denver)

Geopaq Logic; Denver (CO); On-site; USD 110,000 - 150,000; Full time

Job summary

Geopaq Logic seeks a Databricks Architect in Denver to design and implement scalable data architectures across Delta Lake, Unity Catalog, and Databricks SQL. You will own security, governance, and PII protection strategies while shaping data models for analytics workloads.

The role requires 8+ years in data architecture/engineering with 3+ years on Databricks in production, and hands-on PySpark/SQL expertise across Azure/AWS/GCP cloud environments.

Qualifications

• 8+ years in data architecture or data engineering
• 3+ years architecting Databricks solutions in production
• Deep Databricks Lakehouse platform expertise (Delta Lake, Unity Catalog, Databricks SQL, workflows/jobs, medallion architectures)
• Ownership of data security and governance design, Unity Catalog governance models, row/column security, and data masking
• PII classification and protection strategies in AI, NLQ, or conversational analytics workloads
• Strong data modeling skills (dimensional, data vault, domain-driven design) and SQL/PySpark
• Experience with Azure/AWS/GCP including networking, identity (Entra ID/IAM), storage services
• Ability to facilitate discovery workshops and translate business needs into data designs
• Experience delivering within enterprise architecture and governance frameworks and standards

Skills

Databricks production

Delta Lake

Unity Catalog

Databricks SQL

PySpark

SQL

Data modeling

Data security governance

PII classification

Discovery workshops

Entra ID/IAM

Data masking

Dimensional modeling

Data vault

Domain-driven design

Tools

Azure

AWS

GCP

Job description

Geopaq Logic seeks a Databricks Architect in Denver to design and implement scalable data architectures across Delta Lake, Unity Catalog, and Databricks SQL. You will own security, governance, and PII protection strategies while shaping data models for analytics workloads.

The role requires 8+ years in data architecture/engineering with 3+ years on Databricks in production, and hands-on PySpark/SQL expertise across Azure/AWS/GCP cloud environments.