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Senior Manager of Development Operations
2 months ago
Vail Resorts is seeking a highly skilled Senior Manager of Development Operations to lead and manage a team of DevOps engineers. The successful candidate will be responsible for ensuring the efficient and effective delivery of CI/CD repositories and pipelines, as well as overseeing the design, implementation, and maintenance of DevOps pipelines.
Key Responsibilities- Lead and manage a team of DevOps engineers to ensure the efficient and effective delivery of CI/CD repositories and pipelines.
- Oversee the design, implementation, and maintenance of DevOps pipelines to ensure seamless collaboration and automation across development teams and QA teams.
- Implement and optimize CI/CD processes for data infrastructure and application pipelines, automated QA framework, resulting in accelerated time-to-value.
- Collaborate with data engineering teams and other stakeholders to understand requirements and translate them into effective CI/CD solutions.
- Ensure the effective integration of Databricks notebooks and workflows into DevOps pipelines.
- Monitor and optimize the performance of DevOps pipelines and environments.
- Oversee and assist troubleshooting and resolution of issues related to data pipelines and DevOps.
- Stay up-to-date with the latest DevOps features, Databricks capabilities, and best practices for data engineering.
- Mentor and guide team members in data engineering and DevOps practices, with a focus on Databricks.
- Foster a culture of innovation, collaboration, and continuous improvement within the team.
- Bachelor's degree in Computer Science, Data Engineering, or a related engineering field.
- 8+ years of experience in software development or data engineering.
- 5+ years of experience leading and managing technical teams.
- 5+ years of experience working with Git or similar CI/CD tools.
- Strong proficiency in configuration languages (Terraform, YAML).
- Experience with data engineering tools and frameworks (Delta Lake, DataBricks, SQL).
- Experience with containerization tools like Docker and Kubernetes.
- In-depth knowledge of DevOps and its capabilities for data engineering.
- Strong understanding of data engineering principles and practices.
- Experience with Databricks and its capabilities for data engineering.
- Experience with cloud computing concepts and Azure services.
- Familiarity with data quality and validation tools.
- Excellent communication and interpersonal skills.
- Strong leadership and organizational skills.
- Ability to drive results and meet deadlines.
- Experience with Azure Data Factory and Azure Synapse Analytics.
- Knowledge of cloud data architecture and data management principles.
- Certification in Azure DevOps, Databricks, Terraform, or related technologies.
- Ski/Mountain Perks: Free passes for employees, employee discounted lift tickets for friends and family, and free ski lessons.
- MORE employee discounts on lodging, food, gear, and mountain shuttles.
- 401(k) Retirement Plan.
- Employee Assistance Program.
- Excellent training and professional development.
Full-time roles are eligible for the above benefits, plus health insurance, dental insurance, and vision insurance plans (for eligible seasonal employees after working 500 hours), free ski passes for dependents, critical illness and accident plans, and a hybrid work environment.
