Data Platform Engineer

About the opportunity

SUMMARY We are looking for an experienced Data Platform Engineer with a strong background in cloud infrastructure, DevOps, and enterprise technology solutions. The role will be responsible for designing, implementing, and supporting scalable and secure cloud environments across AWS, Azure, and GCP. The ideal candidate should have experience in cloud migration, infrastructure automation, CI/CD, Kubernetes, Terraform, data platforms, and cloud security while working closely with technical teams and stakeholders. JOB RESPONSIBILITIES Strong experience with Python for platform engineering, automation, and integrations Hands-on experience with Apache Airflow / Astronomer Astro, including DAG development and operational support Experience administering and integrating Databricks, including workspaces, jobs, clusters, notebooks, and Unity Catalog Solid understanding of AWS, including IAM, EKS, S3, Secrets Manager, Lambda, CloudWatch, and networking Experience with Infrastructure as Code, preferably Terraform, for cloud and platform provisioning Familiarity with CI/CD pipelines and deployment automation, including Harness and GitOps practices Experience designing and supporting self-service platform capabilities and reusable onboarding patterns Strong knowledge of cloud security, including IAM roles, policies, secrets management, and governance Proven troubleshooting skills across infrastructure, platform, and application integration layers Strong communication and collaboration skills, with experience working alongside onshore architects and client or delivery teams. QUALIFICATIONS At least 5+ years of experience in Cloud Engineering, Cloud Architecture, DevOps, or related technical roles. Strong hands-on experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with CI/CD tools, infrastructure automation, and Infrastructure as Code, particularly Terraform. Knowledge of Docker, Kubernetes, and containerized environments. Experience with cloud migration, networking, security, and identity and access management. Knowledge of DevOps practices, system monitoring, and troubleshooting. Experience working with data platforms or enterprise applications is an advantage. Strong communication and stakeholder management skills. Relevant cloud certifications are preferred. JOB REQUIREMENTS Should be willing to accept a long-term work-from-home arrangement. Should be amenable to a permanent night shift schedule.

Responsibilities

• Strong experience with Python for platform engineering, automation, and integrations Hands-on experience with Apache Airflow / Astronomer Astro, including DAG development and operational support Experience administering and integrating Databricks, including workspaces, jobs, clusters, notebooks, and Unity Catalog Solid understanding of AWS, including IAM, EKS, S3, Secrets Manager, Lambda, CloudWatch, and networking Experience with Infrastructure as Code, preferably Terraform, for cloud and platform provisioning Familiarity with CI/CD pipelines and deployment automation, including Harness and GitOps practices Experience designing and supporting self-service platform capabilities and reusable onboarding patterns Strong knowledge of cloud security, including IAM roles, policies, secrets management, and governance Proven troubleshooting skills across infrastructure, platform, and application integration layers Strong communication and collaboration skills, with experience working alongside onshore architects and client or delivery teams.

Qualifications

• At least 5+ years of experience in Cloud Engineering, Cloud Architecture, DevOps, or related technical roles.
• Strong hands-on experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with CI/CD tools, infrastructure automation, and Infrastructure as Code, particularly Terraform.
• Knowledge of Docker, Kubernetes, and containerized environments.
• Experience with cloud migration, networking, security, and identity and access management.
• Knowledge of DevOps practices, system monitoring, and troubleshooting.
• Experience working with data platforms or enterprise applications is an advantage.
• Strong communication and stakeholder management skills.