Senior Engineer, Platform Analytics

Job Description:

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.

Who you’re committed to being:

• 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.

What you’ll do:

• 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.

Experience you’ll bring:

• 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.

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.

• This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you’ll love working here:

• We work in a blended environment that supports collaboration, flexibility, and connection across teams.

• We are mission-driven, shaping the future of tech up-skilling and delivering impact that matters.

• We foster a culture of inclusion