Manager, Data Engineering Operations

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.

Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.

Job Description:

The Manager, Data Operations will lead a team that is responsible for the reliability, performance, and scalability of our Databricks-based data platform. In this role, you will own the platform's operational health, lead and direct the team, set technical direction, and partner closely with cross-functional stakeholders and Engineering teams to ensure our data pipelines and infrastructure consistently deliver for the business.


This is a people-leadership role that requires strong technical fluency - you should be comfortable going deep with your engineers when needed while keeping the broader operational picture in focus. Excellent communication, organizational, and prioritization skills are essential.


Responsibilities:

• Lead, mentor, and develop 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, continuous improvement, and operational efficiency
  
  

• Manage team capacity, 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 Databricks 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, Security, and Engineering teams on platform architecture, governance, and integration decisions
  
  

• Champion engineering best practices including code review, testing, observability, and documentation
  
  

• Serve as the primary point of contact for data platform operations across the business
  
  

• Communicate operational status, risks, and roadmap clearly to both technical and non-technical audiences
  
  

• Build strong working relationships with downstream 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.
  
  

Required or Preferred Qualifications (specify within):

• 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 Databricks, Spark, and Delta 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 Medallion architectures
  
  

• Experience with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, or equivalent)
  
  

• Familiarity with Unity Catalog for data governance, access control, and data lineage
  
  

• Proven experience designing and maintaining data integration/ETL pipelines using Azure Data Factory or equivalent
  
  

Essential Competencies:

• 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 decisions across cross-functional stakeholders
  
  

• Experience hiring, developing, and retaining engineering talent
  
  

• Strong operational ownership mindset with a focus on reliability, scalability, and continuous 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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