Databricks on AWS Platform Architect - Platform Architecture

Job Description

Role: Databricks on AWS Platform Architect – Platform Architecture

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Location: Dallas, Texas (hybrid -3 days onsite)

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Term: Contract Long term

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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

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Key Responsibilities

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• Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.

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• Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.

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• Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.

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• Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).

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• Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.

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• Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.

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• Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.

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• Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.

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• Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.

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• Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.

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