Lead DevOps Data Engineer (225-1002)

The Lead DevOps Data Engineer is a pivotal role responsible for driving the strategic automation and management of data infrastructure in a cloud environment. This role involves overseeing the integration and deployment pipelines to enhance data processing capabilities and ensure scalable and reliable data solutions. As a lead, you will guide a team of DevOps and data engineers, fostering an innovative and efficient culture that aligns with the organization's technological vision. Your expertise in cloud platforms, CI/CD processes, and data pipeline architectures will be crucial as you collaborate with other departments to implement robust and efficient solutions. If you thrive in a fast-paced, collaborative environment and are passionate about harnessing the power of data, this role offers an exciting opportunity to leverage your technical and leadership skills to drive transformative business outcomes.

Responsibilities

• Lead and mentor a team of DevOps and data engineers to achieve project goals.
• Design, implement, and maintain scalable data infrastructure and pipelines on cloud platforms.
• Develop continuous integration and continuous deployment (CI/CD) processes for data applications.
• Collaborate with cross-functional teams to align data engineering efforts with business objectives.
• Implement security best practices to protect data assets and ensure compliance.
• Automate repetitive tasks and optimize workflows to improve operational efficiency.
• Monitor system performance to identify issues and implement solutions to enhance reliability.
• Stay updated with the latest tools and technologies to enhance data engineering practices.
• Establish and maintain documentation for processes, tools, and data architecture.
• Liaise with stakeholders to clarify requirements and ensure deliverables are met on time.
• Foster a culture of continuous improvement and innovation within the team.
• Provide technical guidance and support to ensure the delivery of high-quality solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in a lead role overseeing DevOps or data engineering teams.
• Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with CI/CD tools such as Jenkins, GitLab, or CircleCI.
• Proficiency in programming languages such as Python, Java, or Ruby.
• Solid understanding of data pipeline architectures and ETL processes.
• Strong problem-solving abilities and excellent analytical skills.
• Excellent communication and leadership skills, with a collaborative approach.
• Familiarity with containerization tools like Docker and orchestration with Kubernetes.
• Ability to work effectively in a fast-paced and dynamic environment.