Manager, Data Reliability Engineering

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.
 

Position Purpose: Manages data reliability and observability frameworks to ensure data trustworthiness, operational excellence, and system performance. Leads a team of engineers responsible for proactive monitoring, anomaly detection, root cause analysis, and real-time alerting. Manages the overall data platform and infrastructure and mentors the team of data engineers. Supports developing processes, and expanding technology roadmap, planning features, measuring outputs, and ensuring quality products. They will also derive analytical insights from a variety of business contexts and communicate those insights effectively to a variety of stakeholders.

• Supports the development of observability processes, expands technology roadmaps, plans feature, measures reliability outputs, and ensures high-quality data products.

• Partners with data engineering, platform, and governance teams to drive data health and reliability strategies.

• Designs and develops a scalable Data Observability Framework to ensure pipeline data health monitoring and real-time insights.
• Manages design and development of software and processes to support large scale, efficient data pipelines and optimizes the availability of data to generate insights and address business needs
• Translates technical business goals and requirements into designs utilizing best practice design patterns and partner with engineering leads, product managers, and design leads in shaping and guiding the technical direction for the data engineering team
• Manages the planning, prioritization and execution of data production projects and processes and the activities of team of data engineers responsible for developing software code that formats, tags, processes, stores and delivers data
• Develops the standards and processes required to ensure the delivery of high-quality data products
• Participates in code reviews and help lead technical discussions, accountable for the maintenance of agile processes and ceremonies for the data team
• Manages and oversees the automation of key ETL / ELT (Extract / Transform / Load) and quality assurance (in collaboration with quality engineering team) processes for large volumes of data and migrations of workloads
• Performs and monitors data governance, data quality, integrity, standards, master data management, metadata strategy, and business intelligence/analytics
• Contributes to decisions on key technology choices for data pipelines to ensure that they are scalable, repeatable, secure, and can serve users at scale in the organization
• Allocates available resources to meet operating objectives and provides team …