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 and belonging, where everyone can contribute and thrive.
- We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.
- Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.
Physical Requirements:This role is primarily performed in an office or home office setting and involves standard computer-based work.
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