Senior Data Engineer, Ads Data (AI Native) - Life360

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most. Life360 serves approximately 102.4 million monthly active users (MAU) across more than 180 countries.

About The Team

The Ads Data Engineering team's purpose is to design, build, and maintain scalable and efficient data infrastructure that empowers Life360 teams to make data-driven decisions. We transform raw data into reliable, accessible, and actionable insights, ensuring data quality, compliance, security, costs, and performance at every step.

About the Job

At Life360, we collect an enormous amount of data: billions of location points, user actions, and miles driven every month. As a Senior Data Engineer, you will own our ads data platform on Databricks: making existing pipelines faster, cheaper, and more reliable, and extending them as new questions come in. You will work directly with analysts, ad strategists, and the sales team to ensure a single, agreed-upon definition for each core metric.

What You’ll Do

• Enhance, extend, and operate our existing batch and streaming pipelines and Delta Lake tables on Databricks.
• Partner with business analysts, ad strategists, and sales to turn questions into durable data and insights products.
• Build and maintain dbt models and tests for curated Silver/Gold datasets, owning the semantic layer and core business metrics.
• Manage Databricks and AWS infrastructure as code with Terraform.
• Integrate and reconcile data from ad platforms, CRM, partner feeds, and internal systems.
• Implement data quality tests, monitoring, lineage, SLAs, and alerting.
• Tune Spark and Databricks workloads for performance and cost.
• Establish engineering best practices (version control, CI/CD, code review, testing, documentation) and mentor engineers.
• Apply data governance, privacy, and access controls (PII, GDPR, CCPA, SOX).
• Enhance LLM development support capabilities by creating tools, skills, and agents.

What We’re Looking For

• 5+ years of experience in data engineering building production data platforms at enterprise scale.
• Deep, hands-on expertise with Apache Spark (PySpark and/or Scala).
• Deep knowledge of the Databricks platform, including Delta Lake, Unity Catalog, Jobs/Workflows, and Structured Streaming.
• Strong SQL and Python (or Scala) skills for pipeline development and automation.
• Hands-on production experience with dbt in CI/CD-driven workflows.
• Experience with Terraform for infrastructure as code and AWS (S3, IAM, networking).
• Strong experience with orchestration frameworks (Airflow, Databricks Workflows), Git, and CI/CD.
• Solid understanding of data modeling (dimensional modeling, star schemas, medallion architecture).
• Experience using AI/LLM coding assistants (GitHub Copilot, Cursor, Claude Code) with a disciplined approach to reviewing and testing generated code.
• Strong business acumen and excellent communication skills.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.

Our Benefits

• Medical, dental, vision, life, and disability insurance plans.
• 401(k) plan with company matching program (US) / RRSP with DPSP plan (Canada).
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP).
• Generous time off: flexible PTO, companywide holidays, summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a remote environment.
• Free Life360 Platinum Membership and Tile trackers.