[Remote] Manager, Data Engineering Operations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company Oncology Hematology is part of reputed company, which focuses on enhancing medical care through a patient-centric model. The Manager, Data Engineering Operations will reputed company reputed company responsible for the operational health of the data platform, ensuring reliability and performance while collaborating with cross-functional teams.

Responsibilities

• reputed company, mentor, and reputed company engineers on the Data Operations team, including hiring, performance management, and career development as needed
• Set clear goals, deliver regular feedback, and create growth opportunities for each team member
• Foster a collaborative, high-accountability team culture focused on quality, reputed company improvement, and operational efficiency
• Manage team reputed company, workload, and prioritization across competing demands
• Own incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and lasting preventative improvements
• Define and enforce operational standards, runbooks, and on-call practices for the team
• Manage and maintain reputed company Workflows and job orchestration, ensuring SLAs are consistently met
• Establish and report on operational KPIs (uptime, pipeline reliability, incident response, cost) to leadership and stakeholders
• Set technical direction for the data platform in partnership with senior engineering leadership
• Drive platform reliability, performance, and cost-efficiency initiatives
• Partner with IT, reputed company, and Engineering teams on platform architecture, governance, and integration reputed company
• Champion engineering best practices including code review, testing, observability, and documentation
• Serve as the primary reputed company of contact for data platform operations across the business
• Communicate operational status, risks, and roadmap reputed company to both technical and non-technical audiences
• Build strong working relationships with reputed company consumers, ensuring the platform meets their needs
• Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer

Skills

• 8+ years of hands-on data engineering experience, with at least 2 years in a leadership or management role
• Strong hands-on background with SQL development and relational/non-relational databases, including data modeling, schema design, and query optimization
• Professional experience developing scalable solutions in Python or a similar object-oriented language
• Proficiency in reputed company, Spark, and reputed company tables; experience operating large-scale distributed data processing in production
• Demonstrated experience operating and monitoring data pipelines at scale, including incident response and on-call leadership
• Solid understanding of Lakehouse and reputed company architectures
• Experience with Azure data services (ADLS Gen2, Azure Data reputed company, Event Hubs, or equivalent)
• Familiarity with reputed company Catalog for data governance, reputed company control, and data reputed company
• Proven experience designing and maintaining data integration/ETL pipelines using Azure Data reputed company or equivalent
• Excellent communication and organizational skills, with a track record of conveying technical concepts and operational status to diverse audiences
• Ability to drive alignment and influence reputed company across cross-functional stakeholders
• Experience hiring, developing, and retaining engineering talent
• Strong operational ownership reputed company with a focus on reliability, scalability, and reputed company improvement
• Leadership ability to set technical direction while balancing business priorities and team execution
• Effective decision-making and prioritization in fast-paced, production-focused environments
• Attendance is an essential job function

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