Principal Data Platform & DevOps Engineer
Core
Lead the design, implementation, and operation of the Central Data Operations (CDOPS) ecosystem, ensuring reliability, scalability, and security of data platforms to enable engineering teams to build and deliver high-quality data products.
Role type
Principal Data Platform & DevOps Engineer
Builds
Resilient, self-service data platforms, automation, and developer tooling for Data Engineering, BI, and AI teams.
Domain
Enterprise data platforms, modern data architectures, and cloud technologies.
Deliverable
production ML models | infrastructure
Required skills
Python, Linux, networking, containers, Kubernetes, distributed systems, Apache Airflow, CI/CD, Infrastructure as Code (Terraform), observability, monitoring, logging, production operations, Docker, Helm, Git, GitLab CI/CD, Snowflake, dbt, Microsoft Fabric, Power BI, MySQL, PostgreSQL, DataHub, SonarCloud, Airbyte, Budibase, LimeSurvey, Portainer, Dockhand, Azure, Oracle Analytics Cloud (OAC)
Preferred skills
Apache Hop, HashiCorp Vault
Technologies
Apache Airflow, Microsoft Fabric, Power BI, Snowflake, GitLab, Terraform, Docker, Helm, Git, Kubernetes, Azure, Oracle Analytics Cloud
Responsibilities
Build, maintain, and enhance the Apache Airflow platform including custom Docker images and scalability; Design and manage CI/CD pipelines for Airflow, Microsoft Fabric/Power BI, and Snowflake; Operate containerized Linux-based data platforms and automate operational tasks; Implement observability, manage incidents, and maintain dashboards and alerts; Partner with engineering teams to deliver scalable platform solutions and mentor engineers.
Seniority
Principal, hands-on IC with technical leadership and mentorship
