Senior Engineer of Platform Analytics, Pluralsight
$144.4-190k
Plus bonus eligibility
Technology workforce development company
Job no longer available
Technology workforce development company
1001+ employees
Job no longer available
$144.4-190k
Plus bonus eligibility
1001+ employees
Company mission
To inspire and empower the tech workforce to achieve their goals.
Role
Who you are
- You enjoy learning and are open to new ways of doing things
- You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns
- When communicating you are self-aware, insightful, and proactive
- You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link
- You believe in continuous improvement and request frequent feedback from others
- Requires a minimum of 8 years of related or equivalent experience; or 6+ years with an advanced degree
- Strong, current, hands-on experience designing and delivering data warehouses and analytical datasets — including data curation, integration, and data-quality processes
- Strong SQL development and performance tuning on analytical databases (e.g., Snowflake)
- Experience with streaming and real-time data processing (e.g., Kafka) and with change-data-capture (CDC) ingestion for entity/reference data
- 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
- Productive, fluent use of AI coding tools in day-to-day engineering work
- Ability to provide architectural, scale, and reliability recommendations, and to collaborate effectively within an Agile team
- Good communication skills — a strong collaborator and trusted teammate, able to partner with the product and the team
What the job involves
- The Senior Engineer, Platform Analytics builds and operates the data pipelines and models behind Platform Analytics — the customer-facing analytics experience that delivers a single, trustworthy source of truth for the metrics customers use to measure learning progress
- This is a deeply hands-on role focused on traditional data-engineering ELT — ingesting, curating, and modeling data into trusted, conformed datasets — while contributing to the target-state platform-analytics architecture. They partner closely with the engineers in the data org and use AI coding tools fluently to build faster and better
- Build and operate the data pipelines that feed Platform Analytics — event ingestion and entity/reference ingestion into Snowflake — to a high standard of reliability and quality
- Build and operate the traditional data-engineering ELT to create a reliable source of truth in the data warehouse
- Contribute to the data models, curating and modeling source-system data into trusted, conformed datasets and applying dimensional modeling and engineering best practices
- Support production performance, reliability, and cost — performance tuning, monitoring and alerting, and resource management
- Help evolve the platform toward its target-state architecture, implementing the design and providing architectural and scale recommendations
- Lead the development lifecycle for your work — implementation, testing, and deployment — collaborating with the team to deliver and maintain the platform
- Help mentor junior engineers and contribute to team standards for code quality and ways of working
- Use AI coding tools productively in daily engineering work — accelerating development, testing, and debugging
- Familiarity with high-performance OLAP serving layers (e.g., ClickHouse) for product- or customer-facing analytics
- Experience reducing reliance on integration/middleware tooling by migrating transformation logic into governed models
- Experience partnering with a data governance function on company-wide standards, schema/version control, and PII classification
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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