Data Bricks on AWS Platform Architect

Local to client site in San Antonio, TX (first preference), Lexington, KY, or Princeton, IN. Must be within a one-hour drive of one of these locations. This is a 7+ month temporary-to-permanent role.

Responsibilities

• Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.
• Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.
• Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.
• Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).
• Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.
• Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.
• Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.
• Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.
• Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.
• Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.

Requirements

• Expertise in Databricks on AWS Platform Engineering and Platform Architecture.
• Certification in one or more of the following: Databricks Platform Administrator, Databricks Certified Data Engineer, AWS Certification (DevOps/Solution Architect).
• Proficiency with core technologies: Databricks, AWS S3, Delta Lake, Unity Catalog, Spark/PySpark, Terraform, GitHub, CI/CD, CloudWatch, Mosaic AI, Genie, Vector Search, MLflow, Kafka, Airflow, Kubernetes.