Senior Analytics Engineer II, AI Native

Life360 is a company dedicated to keeping people close to their loved ones through innovative mobile applications and devices. As a Senior Analytics Engineer, you will be responsible for transforming vast amounts of data into trusted datasets that support analytics and data science initiatives across the organization.

Responsibilities:

• Design and implement robust dimensional and relational data models that support analytical use cases across Product, Marketing, Operations, and Finance
• Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs
• Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data
• Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics
• Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets
• Enhance our LLM development support capabilities – creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems
• Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage
• Establish and evangelize analytics engineering best practices, including version control, code review, testing standards, and documentation
• Empower self-service analytics by building intuitive, well-documented data marts and semantic layers

Requirements:

• Minimum 5+ years of experience in analytics engineering, data modeling, or similar roles working with enterprise-scale data, and demonstrated ownership of data products and cross-functional collaboration
• Expert-level SQL skills with deep understanding of query optimization and performance tuning
• Extensive experience with dbt (data build tool) including testing, documentation, and package management
• Strong programming skills in Python for data manipulation, automation, and custom analytics workflows
• Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks SQL Warehouse)
• Familiarity with orchestration frameworks and how analytics transformations are scheduled within broader data workflows
• Experience working with version control systems (Git) and implementing CI/CD for analytics code
• Strong business acumen and ability to translate business requirements into well-designed data models
• Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX)
• Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data
• Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models
• Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences
• Dedication to data quality, documentation, and empowering others through self-service analytics
• Bachelor's Degree in a technical field, or equivalent experience