Databricks Platform Engineering Lead

Location: Remote in Brazil, Argentina, Colombia, Peru, Uruguay, Chile, or Canada

Company

hirify.global is a global digital engineering, product development, and technology consulting company headquartered in New York, with more than 1,000 experts across 65+ countries.

What you will do

• Architect and build self-service Databricks capabilities, including reusable templates, provisioning scripts, and onboarding documentation for catalogs, schemas, service principals, and Lakebase databases.
• Design and implement governance-as-code, including policy models, validator and resolver engines, deploy-time enforcement, and controls for Terraform-declared catalog grants.
• Own CI/CD platform standardization through reusable GitHub Actions workflows and composite actions, OIDC federation, and shared workflow and policy versions across domain repositories.
• Design least-privilege automation with scoped bot and service credentials, explicit boundaries, and tested access controls.
• Mentor the team transitioning from manual UI-based infrastructure administration to Infrastructure as Code and self-service practices.
• Evaluate Databricks platform capabilities, maintain documentation, and create migration tooling for legacy repositories.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 6+ years of experience in Data Engineering or Big Data roles and 3+ years of hands-on Databricks experience.
• Experience in the insurance industry.
• Strong knowledge of AWS.
• Hands-on experience authoring Databricks Asset Bundles and designing reusable, parameterized templates.
• Experience with governance-as-code, machine-readable policies, static pre-deploy validation, deploy-time enforcement, and Unity Catalog access models.
• Experience with Terraform for platform resources and Databricks Asset Bundles for domain resources.
• Experience engineering CI/CD platforms with GitHub Actions, reusable workflows, composite actions, OIDC federation, and shared policy versions.
• Experience with OLTP/Lakebase provisioning, Python CLI tooling, validators, test suites, compute governance, cluster policies, and Databricks Runtime rollout across development, QA, and production.
• Excellent written and verbal English communication skills; ability to work in a multinational company, lead discussions with technical and business representatives, and work independently and as part of an international project team.

Nice to have

• Exposure to Large Language Models, Generative AI concepts, prompt engineering, and AI-assisted development tools.

Culture & Benefits

• Remote work from Brazil, Argentina, Colombia, Peru, Uruguay, Chile, or Canada.
• Work on global projects within an international community.
• Opportunity to shape platform engineering practices and grow technical skills.