Senior Data Engineer (AI Native)

Life360 is a company focused on keeping people close to their loved ones through innovative mobile and tracking solutions. As a Senior Data Engineer, you will drive the scaling of data infrastructure to support millions of users, managing critical data pipelines and collaborating closely with various teams to enhance data accessibility and quality.

Responsibilities:

• Design and manage scalable data platforms powering real-time analytics, batch processing, and exploratory analysis, using AI-assisted development as the default workflow, not an afterthought
• Own the full data lifecycle: ingestion, ETL, storage, and serving, building and iterating on pipelines with AI pair-programming tools (Claude Code) to accelerate delivery
• Ingest data from diverse sources via both streaming (Kafka, Kinesis) and batch pipelines, unifying them into a consistent, queryable platform
• Architect medallion-layer data models (Bronze/Silver/Gold) in Databricks, ensuring business needs are met with clean, well-documented schemas
• Automate, test, and harden data workflows, writing AI-augmented tests, data quality checks, and CI/CD pipelines that catch issues before production
• Build and maintain AI-ready tooling: craft prompts, custom slash commands, and agent workflows that let the entire team scaffold pipelines, generate documentation, and validate data quality faster
• Build and improve Databricks Genie chatbots that allow non-technical users to query data using natural language
• Collaborate with product analytics and data science, applying engineering rigor to messy, unstructured data and transforming it into reliable, production-ready datasets
• Contribute to infrastructure-as-code (Terraform/Atmos) for provisioning and managing cloud data infrastructure

Requirements:

• 5+ years working with high-volume data infrastructure
• Core stack: Databricks, AWS (EMR, Kinesis/Kafka, S3), Apache Spark/Spark Streaming, Apache Airflow (MWAA), SQL, Python (Java/Scala a plus)
• AI-native mindset: You already use LLM-based dev tools daily, not as a novelty, but as a force multiplier. You can evaluate when AI-generated code is correct, refactor prompts like you refactor code, and build agentic workflows that compound your team's output
• Experience with data quality frameworks (Great Expectations, DQX, or similar): validation rules, schema enforcement, automated monitoring
• Proven ability to architect logical/physical data models, optimize SQL, and tune system performance
• Familiarity with IaC tools (Terraform) for cloud infrastructure provisioning
• Strong communicator who works independently and ships with minimal supervision
• BS in CS, Engineering, Math, or equivalent hands-on experience