Director Analytics Engineering - 1Password

About 1Password

At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. Over 180,000 businesses trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

The Role

As Director, Analytics Engineering, you’ll lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. You’ll shape how data is modeled, tested, documented, governed, and made available to teams across Marketing, Finance, Product, Analytics, and Data Engineering, while staying close to the technical work when it matters. By building reliable data foundations for Artificial Intelligence (AI), you’ll help advance 1Password’s mission to create a safer, simpler digital future.

This is a remote opportunity within Canada and the United States.

What We're Looking For

• Experience: Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams.
• Technical Skills: Strong Structured Query Language (SQL) and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment.
• Data Modeling: 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.
• Cloud Data Warehouses: Experience with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift, including decisions related to performance, cost, and scale.
• Metric Governance: Experience establishing semantic layer strategies and trusted metric definitions across an organization.
• Leadership: Ability to translate complex business priorities into a clear data platform roadmap and communicate effectively with senior stakeholders.
• Preferred Qualifications: Experience with Continuous Integration and Continuous Delivery (CI/CD), orchestration tools such as Airflow, Dagster, or Prefect, and AI-assisted analytics engineering workflows.

What You Can Expect

• 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.

How We Work with AI

We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.

Our Approach to Remote Work

We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.