Director Analytics Engineering

1Password; United States; On-site; USD 204,000 - 306,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

401(k)

RSU program

Generous PTO

Equity incentive

Career growth

Job summary

1Password is seeking a Director of Analytics Engineering to lead the roadmap, architecture, and team responsible for trusted data foundations across Marketing, Finance, Product, Analytics, and Data Engineering. You'll shape data modeling, testing, documentation, governance, and availability while remaining hands-on on critical dbt models.

This remote role covers the US and Canada with competitive compensation.

Qualifications

• Significant experience in data engineering, analytics engineering, or data architecture.
• Experience leading and developing analytics teams.
• Strong SQL and dbt experience with advanced data modeling and multi-environment deployment.
• Deep knowledge of dimensional modeling (Kimball/star schema) in B2B SaaS.
• Experience with modern cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift).
• Experience establishing semantic layer strategies and trusted metrics.
• Ability to translate business priorities into a data platform roadmap and communicate with senior stakeholders.
• Preferred: CI/CD, orchestration tools (Airflow, Dagster, Prefect), and AI-assisted analytics workflows.

Responsibilities

• Own and guide the vision, roadmap, and execution for analytics engineering, including data models, semantic layers, BI tooling, and pipelines.
• Hire, manage, and develop analytics engineers with clear career ladders and performance practices.
• Set standards for data modeling, testing, documentation, code review, deployment, and data quality.
• Review complex dbt models, optimize SQL, and troubleshoot high-priority pipelines.
• Act as a senior technical partner for data modeling and metric governance across the organization.
• Collaborate with leaders across Data Engineering, Analytics, Finance, Marketing, Product, and GTM to translate needs into a roadmap.
• Build governed, reliable data foundations to support company-wide decision-making and AI initiatives.

Skills

Data engineering

Analytics engineering

Data architecture

SQL/dbt mastery

Dimensional modeling

Cloud data warehouses

Semantic layer

Stakeholder communication

CI/CD & orchestration

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.

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. As one of the most loved brands in cybersecurity, we take a human‑centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.

If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast‑paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.

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. Reporting to the VP, Data Analytics, this role is remote within the United States and Canada.

How we’re using AI today

On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision‑making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure‑testing assumptions to turning complex inputs into clear executive‑level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes.

This is a remote opportunity within Canada and the US.

What we’re looking for:

• Required: Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams.
• Required: Strong Structured Query Language (SQL) and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi‑environment deployment.
• Required: 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.
• Required: Experience with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift, including decisions related to performance, cost, and scale.
• Required: Experience establishing semantic layer strategies and trusted metric definitions across an organization.
• Required: Ability to translate complex business priorities into a clear data platform roadmap and communicate effectively with senior stakeholders.
• Preferred: 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.

USA‑based roles only:

The annual base salary for this role is between $204,000USD and $306,000USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada‑based roles only:

The annual base salary for this role is between $200,000CAD and $300,000CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.

Our culture

At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.

How we work with AI

We are committed to leveraging cutting‑edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and 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.

This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.

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.

What we offer

• Health and wellbeing
• Maternity and parental leave top‑up programs
• Competitive health benefits
• Generous PTO policy
• Growth and future
• RSU program for most employees
• Retirement matching program
• Free 1Password account Community
• Paid volunteer days
• Peer‑to‑peer recognition through Bonusly
• Remote‑first work environment
• Some roles in our GTM team are currently being hired for in‑person hybrid work in Toronto and Austin. These roles will specify on the posting.

Accommodations

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at [e-mail] and we’ll work to meet your needs.

Remote work is a part of our DNA

Given that our company was founded remotely in 2005, we can safely say we’re experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.

Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.

1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice.

We belong here.