Senior Engineer, Platform Analytics

Pluralsight

1d•$144,400 - $190,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.