Senior Data Platform Engineer

1Password; United States; Remote; USD 152,000 - 198,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

401k

Generous PTO

Equity grant

Incentive programs

Job summary

1Password is seeking a Senior Data Platform Engineer to build a streaming-first data platform and govern data across the organization. You will work on the data infrastructure, tooling, and paved paths that enable near real-time access for analysts, engineers, AI systems and business users.

You will lead with hands-on contributions and mentor other data platform engineers while advancing a hybrid Databricks and Snowflake setup and a governed storage layer.

Qualifications

• 7+ years of experience in data platform engineering or similar
• Experience designing, implementing, and operating scalable data systems
• Strong experience with streaming architectures and event-driven pipelines
• Proven track record building production systems across distributed environments
• Leadership through technical contribution and mentorship
• Experience with cloud platforms (AWS/GCP) and open-source data infra tools
• Experience with large-scale data stores and data modeling tools
• Proficiency in Python, Go, Scala/Java or similar languages
• Experience with IaC and compute layers like EC2/ECS/EKS

Responsibilities

• Design, implement, and maintain streaming-first data platform based on Kafka, Protobuf, Iceberg
• Build and operate hybrid Databricks and Snowflake architecture for engineering and analytics
• Own the unified storage layer ensuring governed, consistent data foundations
• Champion platform standards, tooling, and best practices across data org

Skills

Streaming data pipelines

Data governance

Distributed systems

Python

Go/Scala/Java

Cloud platforms AWS/GCP

IaC (Terraform/Ansible)

Apache Kafka

Databricks

Snowflake/Redshift

Education

BS/MS/PhD in Computer Science

Tools

Terraform

Ansible

Databricks

Snowflake

Redshift

Apache Kafka

Kinesis

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 Fortune 100 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.

We are looking for a Senior Data Platform Engineer to help us build the next generation of our data platform, a streaming‑first, domain‑oriented foundation designed for speed, ownership, and trust. You will work on the infrastructure, tooling, and paved paths that allow data to flow from production systems into a governed medallion architecture, enabling near real‑time access for analysts, engineers, AI systems, and business users across the organization.

This is a high‑impact role at the center of a platform transformation: enabling self‑serve data access, moving towards near real‑time data access, and establishing data as a first‑class product surface owned at the source.

This is a remote opportunity within Canada and the US.

What we’re looking for:

• You have a passion for designing, implementing, and operating stable, scalable, and efficient data systems
• Deep experience with streaming architectures and event‑driven data pipelines
• Strong focus on schema governance, data quality, and data lifecycle management
• Proven track record of architecting, building, deploying, and supporting scalable production systems across 7+ years of experience
• Enjoys leading through individual technical contribution while mentoring and supporting the growth of other data platform engineers
• Strong commitment to software engineering and data infrastructure best practices
• Curiosity and interest in emerging AI technologies and applications
• Prefer BS, MS, or Ph. D. in Computer Science with 7+ years of proven relevant industry experience
• 5+ years experience working on Cloud Platforms (AWS primarily or GCP) and open‑source technologies supporting data infrastructure, platforms & tools
• 5+ years experience with Big Data query engines & data stores such as Databricks, Snowflake, Redshift, etc.
• Great communication skills capable of working cross functionally with different teams in Engineering and prioritizing critical needs for Data Platform
• Experience programming, building and deploying products that rely on large‑scale distributed systems in Python, Go, Scala/Java, or other similar languages
• 5+ years experience with large‑scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availability
• 5+ years experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Experience with compute layer like EC2, ECS, EKS or similar

Bonus points for:

• Implementing secure systems/datastores with least privilege access (e.g. IAM) and encryption
• Experience using streaming technologies like Apache Kafka, Kinesis, Flink, etc.
• Implementing quality monitoring/alerting using tools like Prometheus, Grafana or Datadog
• Experience with Dagster or other orchestration tooling
• Experience with data modelling tooling such as dbt

What you can expect:

• Design, implement, and maintain a streaming‑first data platform built on Apache Kafka, Protobuf, and Apache Iceberg, enabling near real‑time data availability across the organization
• Build and operate a hybrid Databricks and Snowflake architecture: leveraging Databricks for data engineering, streaming processing, and AI/ML workloads, and Snowflake as the governed serving layer for analytics and business reporting
• Own the unified storage layer to ensure all consumers operate on a consistent and governed data foundation
• Champion platform standards, tooling, and best practices across the data organization

USA‑based roles only: The annual base salary for this role is between $152,000 USD and $197,500 USD, 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 $133,000 CAD and $173,000 CAD, 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.

UK‑based roles only: The annual base salary for this role is between £XX GBP and £XX GBP, plus immediate participation in 1Password’s benefits program (health, dental, pension, 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. This posting is for an existing vacancy.

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.

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.

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

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 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 . For additional information see our Candidate Privacy Notice.