Senior Software Engineer (Senior Data Infrastructure Engineer)

Requirements

• Experience with ArgoCD for GitOps-based deployment workflows.
• Experience with HashiCorp Vault for secrets management.
• Experience with uv for Python dependency and project management.
• Knowledge of data quality frameworks and consistency practices across distributed teams.
• Experience with Azure.

Benefits

Additional Information

Senior Data Infrastructure Engineer Job Description Manage and optimize Databricks infrastructure, including cluster lifecycle management, job scheduling, Unity Catalog administration, user permissions, and cost monitoring. Manage Airflow clusters deployed on Kubernetes via Helm charts, including upgrades, configuration management, and integration with ArgoCD and Vault. Write and maintain Terraform modules to provision and manage cloud infrastructure in a scalable, reliable, and secure manner. Develop and maintain data pipelines and workflows using Python, PySpark, and dbt to support data processing and analytics use cases. Use GitHub Copilot with custom skills and agents to improve team productivity, automate repetitive development tasks, and accelerate code reviews and documentation. Communicate with stakeholders across the organization to understand their data needs and translate them into infrastructure and pipeline solutions. Collaborate with engineering teams to ensure data quality and consistency across the organization. Review and approve infrastructure and pipeline changes from team members, applying runbooks and automation components. Participate in on-call rotation for data infrastructure and pipeline incidents. You will be expected to take all necessary actions to resolve issues and restore services to a normal state. Review and maintain technical documentation, keeping it up to date with current system state and runbooks. 5+ years of professional software engineering experience. 5+ years of experience with AWS and Kubernetes. 3+ years managing Databricks infrastructure, including cluster management, job scheduling, user management, cost monitoring, and performance optimization. 3+ years of Python development for data pipelines and workflows, including PySpark and dbt. 2+ years managing Airflow infrastructure. 2+ years writing and maintaining Terraform modules for cloud infrastructure. Proficiency in using agent tools for software engineering tasks, such as code generation, documentation, and automation. Excellent written and oral communication skills in English. Ability to work collaboratively with cross-functional teams and stakeholders to understand data needs and deliver solutions. Analytical thinking and attention to detail.

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Company Intel

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