Epicareer Might not Working Properly
Learn More

Manager Data Platform Engineering Lead

Salary undisclosed

Checking job availability...

Original
Simplified
Data Platform Engineering LeadTechnical Leadership & Architecture
  • Lead and oversee technical direction across data engineering, backend, frontend, MLOps domains
  • Provide oversight of DevOps practices and infrastructure management
  • Review and approve system architecture, design patterns, and technical decisions
  • Establish coding standards, best practices, and technical documentation requirements
  • Evaluate and recommend new technologies and tools to improve development efficiency
Team & Project Management
  • Lead sprint planning, backlog grooming, and agile ceremonies
  • Manage resource allocation and project prioritisation across multiple workstreams
  • Coordinate with stakeholders to gather and refine requirements
  • Serve as primary technical point of contact for clinicians and business users
  • Ensure project deliverables and milestones are met on schedule
Engineering Operations
  • Oversee code review processes across all engineering domains
  • Review and approve production deployments and changes
  • Ensure robust testing practices including unit, integration, and end-to-end testing
  • Manage application monitoring and maintain service level agreements (SLAs)
  • Lead incident response and troubleshooting for critical issues
Infrastructure & DevOps Oversight
  • Review and approve CI/CD pipeline designs and automation strategies
  • Oversee infrastructure architecture decisions and cloud resource planning
  • Guide security and compliance implementation in infrastructure
  • Review disaster recovery and backup strategies
  • Ensure proper monitoring and alerting systems are in place
  • Validate environment configuration management practices
Data & ML Operations
  • Guide data pipeline architecture and implementation
  • Oversee ML model development, deployment, and monitoring
  • Ensure data quality, security, and compliance standards are met
  • Direct the implementation of MLOps practices and tools
Team Development
  • Mentor and guide technical growth of team members across all domains
  • Conduct technical interviews and participate in hiring decisions
  • Plan and oversee onboarding of new team members
  • Identify training needs and facilitate knowledge sharing
Process & Documentation
  • Maintain technical documentation and system architecture diagrams
  • Establish and refine development workflows and processes
  • Oversee JIRA ticket management and workflow
  • Ensure proper documentation of incidents, changes, and solutions
  • Review and approve operational runbooks
Data Platform Engineering LeadTechnical Leadership & Architecture
  • Lead and oversee technical direction across data engineering, backend, frontend, MLOps domains
  • Provide oversight of DevOps practices and infrastructure management
  • Review and approve system architecture, design patterns, and technical decisions
  • Establish coding standards, best practices, and technical documentation requirements
  • Evaluate and recommend new technologies and tools to improve development efficiency
Team & Project Management
  • Lead sprint planning, backlog grooming, and agile ceremonies
  • Manage resource allocation and project prioritisation across multiple workstreams
  • Coordinate with stakeholders to gather and refine requirements
  • Serve as primary technical point of contact for clinicians and business users
  • Ensure project deliverables and milestones are met on schedule
Engineering Operations
  • Oversee code review processes across all engineering domains
  • Review and approve production deployments and changes
  • Ensure robust testing practices including unit, integration, and end-to-end testing
  • Manage application monitoring and maintain service level agreements (SLAs)
  • Lead incident response and troubleshooting for critical issues
Infrastructure & DevOps Oversight
  • Review and approve CI/CD pipeline designs and automation strategies
  • Oversee infrastructure architecture decisions and cloud resource planning
  • Guide security and compliance implementation in infrastructure
  • Review disaster recovery and backup strategies
  • Ensure proper monitoring and alerting systems are in place
  • Validate environment configuration management practices
Data & ML Operations
  • Guide data pipeline architecture and implementation
  • Oversee ML model development, deployment, and monitoring
  • Ensure data quality, security, and compliance standards are met
  • Direct the implementation of MLOps practices and tools
Team Development
  • Mentor and guide technical growth of team members across all domains
  • Conduct technical interviews and participate in hiring decisions
  • Plan and oversee onboarding of new team members
  • Identify training needs and facilitate knowledge sharing
Process & Documentation
  • Maintain technical documentation and system architecture diagrams
  • Establish and refine development workflows and processes
  • Oversee JIRA ticket management and workflow
  • Ensure proper documentation of incidents, changes, and solutions
  • Review and approve operational runbooks