Philo

Analytics Engineer

• Design, build, and maintain Philo's core dimensional models and data marts in dbt, serving as an owner of the analytics engineering layer of our data stack
• Define and govern key business metrics and KPIs, ensuring consistent definitions and reliable calculations across all downstream reporting and analytics
• Partner with stakeholders across the organization (Finance, Product, Marketing, Ad Sales, Content, and others) to understand their data needs and translate business questions into well-modeled, performant data products
• Establish and enforce best practices for dbt project structure, model design patterns, documentation, and testing — raising the quality bar for analytics engineering at Philo
• Build and maintain comprehensive data documentation and a data catalog so that analysts, data scientists, and business users can confidently self-serve
• Implement and maintain data quality checks and monitoring (e.g., via dbt tests, BigEye, or similar tools) to proactively catch issues before they reach stakeholders
• Optimize query performance and warehouse cost efficiency in Snowflake through thoughtful model design, materialization strategies, and incremental processing patterns
• Collaborate with data engineers on pipeline design and data ingestion to ensure raw data lands in forms that support clean, efficient downstream modeling
• Drive alignment across teams on data definitions, naming conventions, and a single source of truth — building stakeholder trust in data and reporting over time
• Contribute to the evolution of Philo's overall data platform strategy, particularly as it relates to the semantic/metric layer, data governance, and analytics engineering tooling

Senior Analytics Engineer

Engineering Manager

• Drive technical leadership to members of the Data Engineering team, including input on data pipeline design, performance optimization, and AWS cloud services, as well as coaching team members and mentoring new hires
• Provide strong people management for the team, including regular 1:1 meetings, career development guidance, and general check-ins to support individual growth and team morale
• Lead the design and implementation of Philo's data platform architecture
• Set technical standards and best practices for data engineering work
• Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions
• Design scalable data pipelines and infrastructure
• Manage team workload, priorities, and delivery timelines
• Implement data governance, security, and quality control processes
• Drive technical decisions with a focus on long-term sustainability

Senior Analytics Engineer

Data Engineering Manager