Databricks on AWS Platform Architect

Role- Databricks on AWS Platform Architect

Location- Dallas TX

Databricks on AWS Platform Architect Platform Architecture (10 Bullet Summary)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.

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.

Certification :DataBricks Platform Administrator /Databricks Certified Data Engineer/AWS Certification (DevOps/Solution Architect)Terraform