Sr Databricks Platform Architect

Cyber Sphere LLC
Jersey City, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jersey City, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Infrastructure
Identity and Access Management
Key Management
Network Security
Runbook
Amazon Web Services (AWS)
Backend
Front End Software Development
Terraform
Serverless Computing
Databricks

Job description

  • Design and deploy Databricks classic and serverless workspaces on AWS, including networking, storage, and identity integration
  • Author and maintain Terraform modules to provision and manage AWS and Databricks resources in a repeatable, secure manner
  • Define and implement platform security architecture, including workspace isolation, cluster access controls, secrets management, and network security patterns
  • Lead architecture enablement sessions and workshops with large, cross-functional customer teams
  • Guide customer teams through Databricks security accreditation and compliance processes
  • Partner with customer cloud, security, network, and platform teams to validate architecture decisions and troubleshoot deployment issues
  • Produce clear architecture documentation, diagrams, and runbooks for platform configurations

Requirements

Skills Needed:+10 years in cloud and data platform engineering or architecture,

+5 years with Databricks w/ AWS, Strong AWS and services such as S3, IAM, VPC, and PrivateLink (Front + Backend), Hands on Terraform, Databricks platform security, etc

Role Description

Seeking a Senior Databricks Platform Architect to lead secure, scalable Databricks deployments on AWS. This role requires hands-on infrastructure expertise combined with the ability to independently lead architecture and enablement sessions with large customer teams., * 10+ years of overall experience in cloud/data platform engineering or architecture

  • 3 5 years of hands-on relavent experience with Databricks on AWS (classic and serverless workspace deployments)
  • Strong working knowledge of AWS infrastructure: S3, IAM, VPC design, and PrivateLink (both front-end and back-end connectivity)
  • Hands-on Terraform experience provisioning both AWS and Databricks resources
  • Solid understanding of Databricks platform security: workspace isolation, identity/SSO integration, cluster access controls, secret scopes, and network security patterns (e.g., private endpoints, security groups, network ACLs)
  • Excellent verbal and written communication skills, with demonstrated ability to independently lead technical sessions with large customer/stakeholder groups

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