Job Title : Platform Automation Engineer
Job Type : Contract to hire
Duration : Months contract to hire
Location : Plano, TX
% Onsite role
About the Role :
We are seeking an innovative and highly skilled Senior Platform Automation Engineer to drive the design, development, and maintenance of advanced platform-level automation and integrations for our Databricks data lake on AWS. This role is crucial for enhancing the efficiency, scalability, reliability, and security of our data platform, empowering our data science and analytics teams through cutting-edge automation and continuous innovation.
Responsibilities :
- Lead the design, development, and implementation of innovative platform automation solutions for the Databricks data lake on AWS.
- Automate the provisioning, configuration, and management of core AWS services (S, IAM, EC, VPC, Lambda, CloudWatch, SNS, SQS, ELB, Route) using Infrastructure as Code (Terraform).
- Develop robust automation scripts and tools using Python for Databricks workspaces, clusters, jobs, and security configurations, leveraging Databricks APIs and CLI.
- Design, implement, and maintain CI / CD pipelines (, GitHub Actions) for continuous delivery of infrastructure, platform, and automation code.
- Implement and enforce security best practices, compliance, and cost optimization strategies across the AWS and Databricks data platform.
- Integrate and automate the management of AWS data services (Redshift, DynamoDB, Glue, Athena) within the Databricks ecosystem.
- Drive continuous improvement and innovation in platform operations, monitoring, and performance.
- Collaborate with data engineers, data scientists, governance, and operations teams to deliver automated solutions that enhance productivity, platform stability and improve customer experience.
Required Skills & Qualifications :
Experience :
years of professional experience in cloud platform engineering, DevOps, or data platform automation.AWS (Mandatory) :
Extensive hands-on experience with S, IAM, EC, API Gateway, Step Functions, VPC, Lambda, CloudWatch, SNS, SQS, ELB, and Route.DevOps and Automation (Mandatory) :
Proven expertise in Infrastructure as Code (IaC) with Terraform.Advanced Python scripting for platform automation, API integration, and data pipeline orchestration.A passion for identifying and implementing innovative automation solutions.Solid understanding of CI / CD principles and practical experience with tools like GitHub Actions.Proficiency with Git for version control.Nice to have :
Big Data & Data Platforms :
Strong expertise in automating, managing, and optimizing Databricks workspaces, clusters, jobs, and security on AWS. Experience with Databricks APIs, CLI, Delta Lake, and Unity Catalog is highly desirable.Deep experience with Databricks.Familiarity with AWS data services (Redshift, DynamoDB, Glue, Athena) and data lake / warehousing concepts.Networking & Security : Strong understanding of AWS networking (VPC, subnets, security groups) and cloud security best practices, IAM roles, and data encryption.Problem-Solving : Strong analytical and problem-solving skills with the ability to troubleshoot complex issues across distributed systems.Communication : Excellent verbal and written communication skills, with the ability to articulate technical concepts to diverse audiences.