Staff Data Engineer
Core
Designing and evolving the product analytics data architecture, semantic layers, and core datasets to power product decision-making at scale.
Role type
Staff Data Engineer (Product Analytics)
Builds
Scalable, reliable data pipelines and systems supporting real-time and batch analytics use cases.
Domain
SaaS / Customer Experience / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling for analytics, modern data stack tools (dbt, Airflow, Snowflake), system design, data quality frameworks, observability, technical leadership, mentoring
Preferred skills
AI-assisted development tools, incorporating AI solutions into data workflows
Technologies
dbt, Airflow, Snowflake, SQL
Responsibilities
Own and evolve product analytics data architecture; Define standards for data modeling, metrics, and pipeline design; Translate ambiguous business problems into scalable data solutions; Design and build observable data pipelines; Lead cross-team initiatives to standardize schemas; Drive improvements in platform performance and cost efficiency; Establish best practices for data testing and monitoring; Provide technical leadership through mentorship and design reviews.
Seniority
Staff, high-ownership IC with strategic influence
