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Ritchie S. King

data visualization engineer · formerly netflix

COORDINATES

ritchiesking@gmail.com

linkedin/ritchieking

github/ritchieking

ritchiesking.com

sacramento, ca

SKILLS

data visualization

full-stack web development

ui/ux design

data analysis, engineering, & etl

reporting, writing, & editing

TOOLS

d3 • tidyjs • geojson

ts • node • vite • react • express

tailwind • figma • shadcn

r • snowflake • spark • druid

agent-driven development

LATEST WORK · NETFLIX

I spent eight years building data products that growth and finance leaders used to run the business, first as a senior, then as a staff data visualization engineer.

4,200+ commits · 55 repos · 670+ PRs · apps used by thousands of colleagues

2020–2026

Account sharing

I gave each phase of Netflix’s crackdown on password sharing its own focused tool and did much of the data modeling and engineering.

2018–2026

Business insights

I built apps that growth and finance leaders used to make decisions about pricing, revenue, payments, and more.

2025–2026

The agent era

On Netflix’s generative-AI task force for data, I worked on how viz engineers should build data products with the help of agents.

the full story six chapters

Account sharing

2020–2026

I gave each phase of Netflix’s crackdown on password sharing its own focused tool and did much of the data modeling and engineering.

  • Animated scrollyteller explaining sharing detection — Viewed by hundreds of colleagues; format requested for other domains
  • Test-market dashboards for two approaches to paid sharing — Leadership compared them side by side to pick the winner we productized.
  • Launch dashboard — Widely used; UI patterns adopted by other teams

Business insights

2018–2026

I built apps that growth and finance leaders used to make decisions about pricing, revenue, payments, and more.

  • Netflix’s key business dashboard (contributor) — Used by thousands of colleagues, daily in some cases
  • Dashboard showing the revenue impact of each price change — Used to decide when, where, and by how much to raise prices in the future
  • Membership-lifecycle app — Filled a need not identified by users. Novel visualizations were praised.

The agent era

2025–2026

On Netflix’s generative-AI task force for data, I worked on how viz engineers should build data products with the help of agents.

  • Supporting agents’ use of our internal charting library — Custom evaluations shaped agent skills published for the wider org.
  • Remote agent orchestration system based on a “brain and hands” model — Bootstrap docs let others create their own version.
  • Elevated product development using AI-coded experiments — Influenced development patterns across viz engineering

Growing the team

2024–2025

Designed a panel of screens and interviews for hiring viz engineers, adopted by other teams. Mentored two junior viz engineers to launch their own apps within a year.

Enabling analysts

2025–2026

Teamed up with a non-developer analytics engineer on a workforce analytics app; I designed a scalable architecture and coached him so he could take on full ownership.

Shared tools

2019–2026

A market-geography library most of the team’s apps built on, a standard way to retire apps without breaking links, a query generator for Druid, and core features in Netflix’s charting library.

PROFESSIONAL TIMELINE

netflix

staff data visualization engineer

apr.25-oct.26

technical lead who helped define our approach to building internal data products

↑ in depth

REMOTE

netflix

senior data visualization engineer

oct.18-apr.25

full-stack developer building tables and data-driven web applications to help corporate stakeholders make informed business decisions

↑ in depth

LOS GATOS, CA

fivethirtyeight

senior editor, data visualization

may.16-sep.18

player-coach managing a four-person team of visual journalists and developers

in charge of the house style and standards for displaying data in our articles and interactives

NEW YORK

fivethirtyeight

visual journalist

feb.14-apr.16

visual journalist creating static and interactive charts, maps, and tables for news stories and enterprise projects

built a tool for making basic charts in fivethirtyeight style, used extensively by reporters in the newsroom

NEW YORK

quartz

visual journalist

aug.12-feb.14

visual journalist reporting and writing graphic-driven stories about business and economics

NEW YORK

new york times & businessweek

internships & freelancing

sep.11-aug.12

nyt science desk intern (sep.11-dec.11) — wrote stories for the science times

nyt graphics intern (dec.11-mar.12) — made graphics for the paper and the web; trained with some of the best data viz experts in the world

nyt freelance graphics editor (mar.12-jun.12) — stayed on at the times full-time after my internship

businessweek freelance graphics editor (jun.12-aug.12) — made graphics for the magazine, working with bw's intensely creative art team

NEW YORK

nyu

journalism m.a.

sep.10-dec.11

completed the science, health, and environmental reporting program (sherp)

NEW YORK

deer valley

line cook

nov.09-apr.10

chopped vegetables, shredded powder

PARK CITY, UT

mascoma corp.

chemical process engineer

jul.07-jul.09

a process designer and experimenter working on the scale-up crew at a biofuels start-up

BOSTON

dartmouth college

engineering major

sep.02-jun.07

2007: b.e. in engineering

2006: b.s. in engineering and environmental science

HANOVER, NH

AWARDS & JUDGING

Honors for my visual journalism at Quartz and FiveThirtyEight.

Personal awards

Team awards

FiveThirtyEight, for work I built or edited; most came while I led the data visualization team (May 2016–Sep 2018).

Judging