Note: The job is a remote job and is open to candidates in USA. Life360 is a company dedicated to keeping people close to their loved ones through innovative technology. They are seeking a Senior Finance Analytics Engineer to support data modeling, reporting, and designing data products for an AI-native consumption model within the Finance Data Team.
Responsibilities
- Design and build dbt models that serve as the source of truth for Finance & Accounting reporting, planning, and analysis
- Partner directly with stakeholders in Finance, Accounting, Revenue, and FP&A to define metrics, shape requirements, and translate business logic into well-structured models
- Write and optimize complex SQL against our Databricks environment with attention to accuracy
- Uphold and evolve patterns for model design, testing, versioning, and data contracts across the dbt project
- Design the semantic layer and metrics definitions (MetricFlow, Cube, or equivalent) that both humans and agents query against
- Drive the documentation flywheel across dbt, Databricks, Confluence, and the semantic layer so that models, columns, and metrics are legible to LLMs and analysts alike
- Design model grain, naming, and structure so an agent can find what it needs in the warehouse without a human guide
- Use AI tooling (Claude Code, Cursor, and our internal capabilities) as a daily part of your own development workflow, and feed real signal back to the team on what design choices make agents more or less effective
- Build and operate within our SOX-controlled CI/CD environment, with no direct human touches to production
- Maintain documentation and auditability of the data pipelines you own
- Participate in code review and approval workflows for SOX-controlled change management
Skills
- 4+ years of analytics engineering experience, including deep hands-on work with dbt (dbt core strongly preferred)
- 4+ years of SQL experience in an MPP environment (Databricks, Snowflake, Redshift, Trino, or equivalent), with a strong track record of writing performant and maintainable transformations
- 1+ years designing data products for AI consumption: semantic layer work, MetricFlow or Cube, metrics definitions, model contracts, or documentation patterns built with LLM consumers in mind
- Hands-on experience using Claude Code, Cursor, or equivalent AI-enabled development tools as part of your daily workflow
- Strong command of semantic modeling and metrics layer design
- Designing dbt projects at scale: model organization, testing strategy, documentation standards, model versioning, and contracts
- Familiarity with MCP servers and how agents consume warehouse data and metadata, enough to design models and docs that work well for both humans and agents
- Strong written communication: you can write documentation that a stakeholder, a teammate, or an LLM can all use effectively
- Finance or Accounting domain experience
- Working in a SOX-controlled environment with formal change management
- 1+ years of Python for scripting, API integration, and automation
- 1+ years of Airflow
- Databricks platform specifically, including Unity Catalog
- Familiarity with Terraform, GitHub Actions, or Atlantis for infrastructure and CI/CD
Benefits
- Medical, dental, vision, life and disability insurance plans (100% paid for employees)
- 401(k) plan with company matching program
- Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
- Flexible PTO, 13 company-wide days off throughout the year
- Winter and Summer Weeklong Synchronized Company Shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
Company Overview