Senior Analytics Engineer

What we're looking for:

• 5+ years in analytics or data engineering, with 3+ years focused on analytics engineering and production DBT development
• Expert-level SQL and DBT skills, including advanced modeling patterns, incremental processing, and multi-environment deployment
• Deep experience with modern cloud data warehouses (e.g. Athena, Snowflake, BigQuery, Databricks, or Redshift), including performance tuning, partitioning, and incremental strategies
• Strong understanding of dimensional modeling, metric design, and how to document grains and business logic for consumers
• Familiarity with semantic layer or metrics tooling (e.g. LookML, MetricFlow, dbt Semantic Layer) or equivalent in-repo metric standards
• Hands-on experience with CI/CD for data pipelines and orchestration tools (e.g. Airflow, Dagster, Prefect)
• Able to communicate complex data concepts clearly to both technical and non-technical audiences

Bonus points for:

• Experience with B2B SaaS metrics (subscription revenue, customer lifecycle, usage and adoption)
• Event-stream or behavioural data modeling; SCD and snapshot patterns
• Lakehouse table formats (Iceberg, Parquet) and merge-based incremental loads
• Reverse ETL, data mesh concepts, or open-source data tooling contributions

What you can expect:

• Own scalable DBT models and datasets that serve as the authoritative source of truth for key business metrics across the organization
• Design clear data models and grains (dimensions, facts, timeseries, and marts) that analysts and downstream tools can use with confidence
• Contribute to semantic layer and metric governance, ensuring definitions are consistent, documented, and reliable across reporting surfaces
• Drive team standards for modeling patterns, testing frameworks, naming conventions, and CI/CD deployment practices, and champion adoption
• Implement data quality and observability strategies that surface issues proactively and build stakeholder trust
• Collaborate with Data Infrastructure, Engineering, and Analytics teams to improve model performance, runtime, and warehouse efficiency at scale
• Evaluate and introduce tooling and methodologies that improve the reliability and scalability of our analytics stack
• Ensure all data ingestion and modelling adheres to our rigorous security and privacy-first standards
• Translate ambiguous business requirements into well-scoped technical solutions, serving as a trusted advisor to cross-functional stakeholders
• Mentor junior and intermediate analytics engineers through code review, pairing, and knowledge sharing

USA-based roles only: The annual base salary for this role is between $138,000 USD and $193,000 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 $115,000 CAD and $161,000 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.