AWS and Databricks administration
Configure and manage core AWS services
Work with Data Scientists to manage Databricks environment in conjunction with Data Engineering AWS environment
Implement security best practices, network segmentation, and secrets management
Own relationships with external vendors
Support development and maintenance of data pipelines (Python/Spark/SQL/API Gateway/EC2/DynamoDB/Glue), data quality checks, and documentation.
Contribute to code reviews and standards.
Design, build, and maintain IaC with Terraform for AWS and Databricks (modules, workspaces, remote state, CI/CD)
Standardize and templatize environment provisioning across dev/prod
Establish tagging, budgets, and chargeback/showback; rightsized compute, storage, and job configurations
Manage Savings Plans/Reserved Instances, Spot strategies, storage lifecycle policies.
Work closely with data engineers, data scientists, and stakeholders to unblock deliverables
Document designs, standards, and operational practices to enable a small team to move quickly and safely

3+ years in data/platform/DevOps engineering with significant AWS experience
Proficient in Python and SQL
Proficient in AWS Budget and Cost Management, AWS Trusted Advisor, CloudWatch & CloudTrail
CI/CD for infra and data (GitHub Actions/Jenkins), code reviews, testing, and change management
Security-first mindset: IAM/RBAC, least privilege, network controls, encryption, secrets
FinOps knowledge: RI/Savings Plans, rightsizing, storage lifecycle, cost allocation/tagging, monitoring/alerts
Excellent communication and ability to operate in a small, high-impact team.

Senior Data Platform Engineer

Key skills