Cross-Team Projects: Lead projects that cross teams, actively working with your Manager to set the technical vision for your team
Problem Solving: Be handed a problem and reasonably be expected to come up with and drive the projects that your crew should do to solve that problem
System Architecture: Architect systems that are within your teams domain, with guidance from Manager or Technical Director when needed

Implementation & Development

Domain Ownership: Fully understand and own multiple entire areas of the codebase or multiple services
Technology Integration: Lead evaluation and implementation of new technologies that benefit your teams domain
Quality Standards: Ensure all work meets our high-quality pull request standards and follows established engineering processes

Collaboration & Mentoring

Cross-Functional Collaboration: Collaborate across teams inside the Data Engineering org, represent your team as needed, and reach out to external stakeholders for clarifications
Mentoring: Actively mentor IC7s and IC8s, focusing on adopting our processes, technical knowledge, and quality of execution
Stakeholder Engagement: Work with engineers in the rest of Gen to help move the org forward

Quantifiable Performance Expectations

Technical Output: Minimum 4+ PRs per week (GitFlow) or 6+ PRs per week (Trunk-based development)
Code Reviews: 2+ comprehensive reviews per day from anyone in the areas/services you contribute to
Documentation: Author at least 1+ RFC or Tech Spec per year that demonstrates technical leadership
Meeting Efficiency: No more than 15% of work hours spent in meetings to maintain focus on technical work
Deployments: Routinely deploy to production with appropriate oversight and process adherence

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