Staff Observability Data Infrastructure Engineer

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Requirements:

• 7+ years experience managing expansive data platforms like Splunk and Clickhouse.
• 6+ years mastering high-volume data pipelines with tools such as Vector, Cribl, and Confluent.
• Strong understanding of contemporary data modeling and architecture.
• Proven collaboration skills across different teams.
• Exceptional problem-solving abilities in a healthcare IT environment.
• Excellent communication skills to convey technical data solutions to diverse audiences.
• Experience with project management, CI/CD pipelines, and GitHub.
• Proficiency in query languages like SPL2 and programming with Python or Java.

Responsibilities:

• Architect and cultivate a scalable observability data platform using tools like Splunk and Clickhouse.
• Innovate and refine enterprise data models to boost performance and reliability.
• Support data management policies and the data lifecycle.
• Enhance data integrity through robust governance processes.
• Ensure compliance with regulations regarding data security.
• Develop sophisticated data pipelines for data collection and processing.
• Optimize data flows and long-term storage strategies.
• Collaborate with various IT teams for a unified operational data view.
• Drive enhancements in data platform architecture and security measures.