In this section I focus on topics for technical leadership (Staff Data Scientist, Staff Machine Learning Engineer).
In the last couple of years, I’ve been interesed as a people manager on how support this profile in my teams, identify when and how I need them in my teams, and even to play it by myself when possible and needed.
More specifically, I wanted to develop people beyond that first step into technical leadership, which consists of leading implementation and mentoring junior and senior.
In 2023, I teamed up with my team’s Staff Machine Learning Engineer, Caique Lima, and prepared a couple of workshops for the Lead Machine Learning Engineers we had in our Org. Beyond our own experience, they were based on three books: Team Topologies 1, The Staff Engineer’s Path 2, and the Staff engineer: leadership beyond the management track 3.
I will share a revised version of it and keep adding as I learn from the trajectories of professionals on this track. There is a template for the activities.
A suggested order
Section | Reference | Activity |
---|---|---|
Conway's law and team boundaries | Team Topologies | Describe the flow of change from previous projects and identify domains in your team |
Team types | Team Topologies | Describe actions from your team that support or oppose your team type's expected behaviors |
Desigining and evolving systems by designing team interactions | Team Topologies | Design a high-level architecture and find out the team design that elicits it |
References
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Skelton, M., & Pais, M. (2019). Team topologies: organizing business and technology teams for fast flow. : It Revolution. ↩
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Reilly, T. (2022). The staff engineer’s path: a guide for individual contributors navigating growth and change. : O’Reilly Media, Incorporated. ↩
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Larson, W., & Reilly, T. (2021). Staff engineer: leadership beyond the management track. : Will Larson. ↩