Job Title: Platform Engineer – AWS & Databricks Overview
We are looking for an experienced Platform Engineer to design, automate, and manage scalable cloud infrastructure and data platforms on AWS and Databricks. This role requires strong expertise in cloud engineering, Infrastructure as Code (IaC), platform governance, automation, and DevOps practices to deliver secure, reliable, and cost-effective solutions.
The ideal candidate will collaborate with data engineering, analytics, security, and business teams to build and maintain contemporary cloud platform capabilities that support enterprise data and analytics workloads.
Key Responsibilities
Cloud Platform Engineering
- Design, deploy, and manage cloud infrastructure and platform services on AWS and Databricks.
- Build scalable, secure, and highly available environments that support data and analytics workloads.
- Ensure platform solutions align with security, governance, and operational best practices.
Infrastructure as Code (IaC)
- Develop and maintain infrastructure using Infrastructure as Code tools such as Terraform,
AWS CloudFormation, or AWS CDK.
- Automate infrastructure provisioning, deployment, and configuration management processes.
- Promote infrastructure standardisation and repeatable deployment patterns.
AWS Platform Management
- Manage and support core AWS services including:
- Amazon S3
- IAM
- Lambda
- EC2
- KMS
- VPC
- API Gateway
- Route 53
- Secrets Manager
- Implement networking, security, and access management best practices across cloud environments.
Databricks Platform Administration
- Provision and manage Databricks workspaces, compute resources, SQL Warehouses, and governance frameworks.
- Support data platform operations, performance optimisation, and access management.
- Implement governance controls to ensure secure and compliant platform usage.
DevOps & Automation
- Build and maintain CI/CD pipelines using modern Git-based workflows.
- Automate deployment, configuration, and operatio
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