Senior Databricks Lakehouse Architect | Data Platform Lead

Virtue America; Florida; On-site; USD 150,000 - 210,000; Full time

Job summary

Virtue America in Tampa, FL seeks an experienced Databricks Solution Architect to design and implement enterprise-scale data platforms and Lakehouse architectures. You will lead architectural design, collaborate with clients, and drive governance, security, and performance across cloud data environments.

The role requires hands-on Databricks, Spark, PySpark, Unity Catalog, Delta Lake, and MLflow expertise, with strong communication and leadership to guide cross-functional teams.

Qualifications

• Extensive experience designing enterprise data platforms on Databricks.
• Hands-on experience with Spark and PySpark.
• Strong ability to communicate with clients and stakeholders.
• Deep knowledge of Lakehouse concepts, Medallion Architecture, governance and security.

Responsibilities

• Design and implement enterprise data solutions using Databricks and Lakehouse architecture.
• Develop scalable data pipelines using Apache Spark, PySpark, and Databricks Workflows.
• Implement Medallion Architecture (Bronze, Silver, Gold) for data processing and transformation.
• Configure Unity Catalog for data governance, security, access control, and lineage.
• Leverage MLflow for experiment tracking, model management, and ML lifecycle operations.
• Provide technical leadership and conduct architecture reviews for development teams.

Skills

Databricks

Apache Spark

PySpark

Unity Catalog

Delta Lake

MLflow

Lakehouse Architecture

Medallion Architecture

Generative AI

AWS/Azure

Cloud Data Platform Architecture

Client communication

Tools

Databricks Workflows

Unity Catalog

Delta Lake

MLflow

Apache Spark

Job description

Virtue America in Tampa, FL seeks an experienced Databricks Solution Architect to design and implement enterprise-scale data platforms and Lakehouse architectures. You will lead architectural design, collaborate with clients, and drive governance, security, and performance across cloud data environments.

The role requires hands-on Databricks, Spark, PySpark, Unity Catalog, Delta Lake, and MLflow expertise, with strong communication and leadership to guide cross-functional teams.