Senior Data Platform Engineer

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 gene