Principal Engineer, Pluralsight
Platform Analytics
$167.2-220k
Technology workforce development company
Be an early applicant
Technology workforce development company
1001+ employees
Be an early applicant
$167.2-220k
1001+ employees
Company mission
To inspire and empower the tech workforce to achieve their goals.
Role
Who you are
- You lead by building, not managing
- You own outcomes, not just output
- You mentor without authority
- You treat AI tools as a craft, not a shortcut
- You hold a high bar for simplicity and rigor
- Experience building customer-facing analytics products where metric consistency across UI and API is a hard requirement
- Experience taking a system from a launch/MVP design through to a scaled production architecture
- Familiarity with low-latency lookup stores (e.g., Redis) for instant-response use cases
- Requires a minimum of 12 years of related or equivalent experience; or 8+ years and an advanced degree
- Deep, current, hands-on expertise designing and delivering data warehouses and analytical data platforms — including data curation, integration, metadata management, and data-quality processes — with the ability to do this work personally, not only direct it
- Expert SQL development and performance tuning on analytical databases (e.g., Snowflake), with the judgment to hold low-latency, high-concurrency query performance at scale
- Experience with streaming and real-time data processing (e.g., Kafka) and with change-data-capture (CDC) ingestion for entity/reference data
- Experience designing and operating a high-performance OLAP serving layer for customer- or product-facing analytics (e.g., ClickHouse), or strong transferable equivalent
- Experience with dimensional data modeling and with source control, testing, and deployment workflows for ELT (e.g., dbt, git-based CI/CD)
- Experience with workflow orchestration tools (e.g., Apache Airflow) for scheduling, dependency management, and monitoring of production data pipelines
- Demonstrated ability to own architecture and make and hold the key technical decisions on a complex, business-critical system — exercising independent judgment on performance, reliability, scalability, and consistency
- Productive, fluent use of AI coding tools in day-to-day engineering work
- Excellent communication skills — able to align engineers, partner with product and non-technical stakeholders, and mentor more junior engineers
What the job involves
- The Principal Engineer, Platform Analytics is the senior technical owner of Platform Analytics — the customer-facing analytics experience to deliver a single, trustworthy source of truth for the metrics customers use to measure the learning progress
- As a senior individual contributor on the team, they own the architecture and the critical technical decisions
- This is a deeply hands-on role — they design, build, and operate the pipelines and serving layers themselves — spanning both the target-state platform-analytics architecture and the traditional data-engineering ELT that feeds it. They set the technical bar for the team, mentor junior engineers, and use AI coding tools fluently to build faster and better
- Own the architecture of Platform Analytics and the key technical decisions while preserving the consistency guarantee and meeting its latency and freshness targets
- Design, build, and operate the data pipelines and serving layers hands-on: event ingestion and entity/reference ingestion into Snowflake, dbt-governed metric definitions, and a high-performance OLAP serving layer behind a single Analytics API
- Own production performance, reliability, and cost — performance tuning, monitoring and alerting, and resource management — for a customer-facing system
- Curate and model source-system data into trusted, conformed datasets, applying dimensional modeling and engineering best practices
- Build and operate the traditional data-engineering ELT the product depends on to the same standard as the platform-analytics path
- Set the technical bar for the team — code quality, design standards, and ways of working — and mentor senior and mid-level engineers, raising the team's ability to make and hold sound technical decisions
- Partner with the Product Manager and stakeholders to sequence the architecture work ahead of the dependent product roadmap, and communicate technical direction and trade-offs to both technical and non-technical audiences
- Use AI coding tools productively in daily engineering work — accelerating development, testing, and debugging — and help establish effective patterns for their use across the team
Our take
Pluralsight is dedicated to closing the global tech skills gap, a mission that has become increasingly urgent as industries worldwide face a growing shortage of IT talent. This high demand for upskilling makes Pluralsight's online training services more relevant than ever.
Founded in 2004, Pluralsight has matured into a prominent player in the online upskilling industry. The company has seen significant growth in recent years, capitalising on the surge in demand before many competing startups emerged. Despite facing competition from major players like Grow with Google and Udemy, Pluralsight has maintained its strong position.
Though Vista Equity Partners' 2021 acquisition has brought some challenges, Pluralsight, once a unicorn startup now a public company, continues to thrive. With numerous partnerships with NGOs, educational institutions, and corporations, Pluralsight remains a key player in tackling the tech skills shortage.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2016
$30m
SERIES C
Aug 2014
$135m
SERIES B
Total funding: $195m
Company benefits
- Unlimited PTO
- Summer Fridays
- Holidays
- Parental Leave
- Medical, Dental and Vision
Company HQ
Draper, UT
Leadership
Aaron Skonnard
(Co-Founder & CEO)Worked as a DevelopMentor Author, and was President of Skonnard Consulting. In 2004, left a Neumont University Associate Professorship to co-found Pluralsight.
Fritz Onion
(Co-Founder & Content Advisor)Started as an Oracle Software Engineer after a degree at Harvard, and then spent 10 years as a DevelopMentor Instructor. Subsequently co-founded Pluralsight in April 2004, serving as Content Advisor.
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