Director, Data Engineering – AI Native
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Job Description
Director of Data Engineering leading engineering in the Data and Analytics organization at Life360. Managing data from end to end, collaborating with technical and business teams.
Responsibilities:
- Define and drive the technical roadmap across data platform, analytics engineering, and ads data infrastructure. Set the architectural vision for how data is ingested, transformed, modeled, and served at Life360.
- Own the analytics engineering strategy end-to-end: dbt project structure, data modeling standards (dimensional, OBT, and semantic layer), testing and documentation practices, and the development workflow that analytics engineers use daily.
- Oversee the data platform: Databricks infrastructure, compute optimization, pipeline orchestration, data lake architecture, and the reliability/observability stack that keeps it all running at consumer scale.
- Drive toward a self-serve data experience where analysts and data scientists can answer their own questions without engineering bottlenecks—this is the outcome that ties platform and analytics engineering together.
- Make strategic build vs. buy decisions across the data stack and manage vendor relationships (Snowflake, Databricks, Amplitude, and related tooling).
- Drive data quality, governance, and documentation standards that make data trustworthy and self-service across the company.
- Bring an AI native approach to data engineering: leverage AI tools to accelerate development cycles, evaluate AI-powered data quality and anomaly detection solutions, and ensure our data infrastructure supports ML/AI workloads and experimentation at scale.
- Stay current on emerging technologies in the data and AI space and make pragmatic decisions about adoption—knowing when a new tool solves a real problem vs. when it’s a distraction.
Requirements:
- 8–10+ years of experience in data engineering, analytics engineering, or data platform roles at technology companies, with at least 5 years in people management.
- 3+ years managing managers; you know how to lead through others, set org-level direction, and scale teams.
- Define and drive the architectural vision for end-to-end ELT/ETL processes, covering data ingestion, transformation, modeling, and serving at consumer scale.
- Strong technical credibility across data platform and analytics engineering, combined with solid business acumen, consistently tying technical decisions to business impact.
- Strong experience with dbt (data build tool): project structure, testing frameworks, documentation standards, CI/CD for data transformations, and how to scale dbt across multiple teams and domains.
- Production experience with Databricks or equivalent lakehouse platforms (Snowflake, BigQuery) at consumer scale—including pipeline design, orchestration, reliability and compute optimization, cost management, and data lake architecture.
- Demonstrated experience managing multiple teams or workstreams simultaneously (15+ people across distinct functions) at a technology company.
- Strong track record of stakeholder management at the director/VP level—you’re comfortable saying no, explaining tradeoffs, and building trust with non-technical leaders.
- Ability to distill technical complexity into language that non-technical stakeholders can understand and act on. You can run a crisp stakeholder review with a VP of Product as effectively as you can lead an architecture review with your engineers.
- Proven ability to prioritize ruthlessly across competing demands from multiple business units—a skill sharpened by working in fast-paced tech environments.
- Strong business acumen—you understand how product metrics, growth loops, and monetization models connect to data infrastructure decisions.
- AI native mindset: you actively use AI tools in your own work and have a point of view on how AI changes data engineering practices, team productivity, and infrastructure requirements.
Benefits:
- Competitive pay and benefits.
- Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
- 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
- Employee Assistance Program (EAP) for mental wellness.
- Flexible PTO and 12 company wide days off throughout the year.
- Learning & Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership for your preferred circle.
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