Director Analytics Engineering

1Password is hiring a Director, Analytics Engineering to lead the roadmap, architecture, and team responsible for trusted data foundations. The role oversees data models, semantic layers, BI tooling, and pipeline infrastructure, while partnering with teams across the business to support decision-making and AI initiatives.

Responsibilities:

• Own the vision, roadmap, and execution for 1Password’s analytics engineering function, including core data models, semantic layers, Business Intelligence (BI) tooling, and pipeline infrastructure
• Hire, manage, and develop analytics engineers while establishing clear career ladders, leveling expectations, and performance practices
• Set standards for data modeling, testing, documentation, code review, deployment, and data quality
• Stay close to the technical work by reviewing complex dbt models, optimizing SQL, and helping troubleshoot high-priority pipeline issues
• Serve as a senior technical partner on data modeling and metric governance, ensuring definitions are consistent, trusted, and well documented
• Partner with leaders across Data Engineering, Analytics, Finance, Marketing, Product, and Go To Market (GTM) teams to turn business needs into a prioritized roadmap
• Build governed, reliable data foundations that support company-wide decision-making, AI initiatives, and Generative BI experiences

Requirements:

• Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams
• Strong Structured Query Language (SQL) and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment
• Deep knowledge of dimensional modeling, such as Kimball or star schema approaches, applied in complex Business-to-Business (B2B) Software as a Service (SaaS) environments
• Experience with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift, including decisions related to performance, cost, and scale
• Experience establishing semantic layer strategies and trusted metric definitions across an organization
• Ability to translate complex business priorities into a clear data platform roadmap and communicate effectively with senior stakeholders
• Experience with Continuous Integration and Continuous Delivery (CI/CD), orchestration tools such as Airflow, Dagster, or Prefect, and AI-assisted analytics engineering workflows