2 days ago
Base Salary
$129k - $192k/yr
Responsibilities
- Enhance, extend, and operate batch and streaming pipelines and Delta Lake tables on Databricks across ingestion, orchestration, storage, and serving.
- Partner with analysts, ad strategists, and sales teams to build durable campaign performance, audience, revenue, and other data products.
- Build and maintain dbt models, tests, documentation, curated Silver/Gold datasets, semantic layers, and trusted core business metrics.
- Manage Databricks and AWS infrastructure as code using Terraform.
- Integrate and reconcile data from ad platforms, CRM systems, partner feeds, and internal systems, including legacy migrations.
- Implement data quality testing, monitoring, lineage, SLAs, alerting, and data contracts, and lead root-cause analysis for data failures.
- Tune Spark and Databricks workloads for performance and cost, including query plans, partitioning, shuffle, skew, caching, and cluster sizing.
- Establish engineering practices for version control, code review, testing, documentation, and CI/CD; mentor engineers and help shape the technical roadmap.
- Apply data governance, privacy, and access controls across the platform, including PII, GDPR, CCPA, and SOX considerations.
- Create tools, skills, and agents that give LLMs more context and help teams debug, build, and maintain systems faster.
Requirements
- At least 5 years of experience building production data platforms at enterprise scale, with ownership of data products and cross-functional collaboration.
- Deep hands-on Apache Spark expertise, including PySpark and/or Scala, partitioning, shuffles, joins, skew handling, caching, and performance diagnosis.
- Deep Databricks expertise covering Delta Lake, Unity Catalog, Jobs/Workflows, Databricks Asset Bundles, Structured Streaming, SQL Warehouses, Photon, serverless, autoscaling, and workload optimization.
- Strong SQL and Python or Scala skills for pipeline development, automation, and query optimization.
- Production experience with dbt model design, testing, documentation, and incremental strategies in Databricks and CI/CD workflows.
- Hands-on Terraform experience and AWS experience covering S3, IAM, and data-platform networking fundamentals.
- Strong orchestration experience with Airflow, Databricks Workflows, or similar, plus Git and reliable, observable pipeline development.
- Understanding of dimensional modeling, star schemas, medallion architecture, semantic layers, and metric definitions.
- Experience inheriting, refactoring, and improving existing models and pipelines while preserving reliability, maintainability, and downstream compatibility.
- Experience with AI/LLM coding assistants such as GitHub Copilot, Cursor, or Claude Code, including reviewing, testing, and owning generated code.
- Strong business acumen and communication skills for translating stakeholder needs into data products and explaining technical concepts to nontechnical audiences.
- Familiarity with data governance and compliance requirements including GDPR, CCPA, and SOX, and with BI tools such as Domo, Tableau, or Looker.
- Advertising, ad tech, or media data experience is preferred.
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.
Benefits
- Medical, dental, vision, life, and disability insurance are provided, with US medical, dental, vision, life, and disability plans 100% paid for employees and supplemental Canadian plans.
- US 401(k) with company matching or Canadian RRSP with DPSP plan.
- Paid parental leave, mental wellness programming, and an Employee Assistance Program.
- Flexible paid time off, company holidays, and summer and winter shutdowns.
- Learning and development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership and Tile trackers.
- Remote-first work environment, with positions generally available remotely within the US and Canada.
Categories
Data Engineering
About Life360
Life360 builds a family safety platform that combines a mobile app with Tile Bluetooth trackers and a pet GPS tracker for location sharing, driving insights, crash detection, and emergency dispatch. It monetizes through subscription memberships, hardware device sales, and advertising. The company is headquartered in San Mateo, California, is dual-listed on NASDAQ and the ASX, owns Tile, and serves over 100 million monthly active users across more than 180 countries.