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Niche Databricks specialization but metro location and mid-level demand create moderate applicant competition.
Databricks and cloud platform expertise is transferable across industries but still requires domain-specific governance experience.
Explicit 5–8 years and mandatory Databricks/AWS/IaC/platform experience make filters highly stringent.
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Provision, configure, and manage Databricks platforms and AWS infrastructure including multi-environment Dev/Test/Prod setups.
Automate platform deployment and lifecycle management using Terraform, CloudFormation, Databricks CLI, REST APIs, and CI/CD pipelines.
Analyze platform usage and costs, implement governance, security controls, operational monitoring, and support migration and enablement of enterprise data and AI/ML workloads on Databricks.
5+ years of experience in cloud engineering, infrastructure management, or cloud operations with focus on Databricks platform engineering.
Bachelor’s degree in Computer Science/IT or equivalent experience.
Strong expertise in AWS services (VPC, IAM, EC2, S3, KMS, Lambda, RDS, CloudWatch) and automation tools like Terraform and CloudFormation.
Location requirement: Hyderabad, Telangana, India (must be able to work from Vanguard’s India office).
Experienced in complex Databricks platform components including Unity Catalog, Delta Lake, Workflows, and Lakehouse architectures, with ability to independently lead and troubleshoot platform issues.
Proficient in automation and infrastructure as code practices using Git-based CI/CD pipelines and scripting languages like Python and SQL.
Skilled in enabling enterprise governance, security, RBAC, and cost optimization for production-scale cloud platforms supporting AI/ML and GenAI workloads.