Senior Analytics Engineer II

What You'll Do

• Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.

• Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.

• Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.

• Build the governed data layer, including semantic models, canonical views, metric definitions, and data contracts. Maintain versioning and backward compatibility so downstream BI and AI consumers remain stable.

• Structure models, definitions, and documentation so data is usable by people and by AI agents . Build internal tools that help teams ask data questions and trust the answers they receive.

• Identify business questions, translate them into structured analytical problems, and develop data solutions that answer them.

• Mentor the Analytics team by setting standards for testing, dbt CI/CD , monitoring, alerting, automation, runbooks, onboarding, and code review.

• Partner with Engineering to understand source schemas, events, and system architecture. Provide input early so data entering the warehouse is reliable, stable, and easy to model.

What You'll Have

• 4+ years in data or analytics engineering. You've built and operated production pipelines end to end and owned issues when they broke.

• Strong SQL and solid Python . Hands-on experience with ETL and orchestration tools ( Airbyte , Fivetran , Dagster , dbt , Airflow , or similar), including multi-step workflows.

• Experience with modern data warehouses ( Snowflake , Databricks , or Redshift ), including query and performance optimization.

• Strong data modeling skills. You understand the business meaning behind the metrics, not just how the data moves.

• A bias for action. You ship useful, iterative data models that deliver value without waiting for a perfect solution.

• Experience building governed data layers (semantic models, canonical views, metric definitions, or data contracts).

• Experience writing data quality checks to validate data integrity ( dbt tests , Great Expectations , Pydeequ , or similar).

• Experience with BI tools ( Omni , Mode , Looker , Tableau , or similar). You've delivered reports and dashboards.

• Experience setting standards for dbt CI/CD , monitoring, alerting, runbooks, and code review, and mentoring others on those practices.

• A track record of evaluating and adopting new data and analytical tools when they solve a real problem or improve the stack.

Why Join Us

At Wrapbook, creativity meets technology — and not just in the product.

In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts. Benefits include:

• Unlimited Paid Time Off

• Work from anywhere in Canada and USA

• Health and Dental benefits

• Up to $1,500 USD/ $2,025 CAD towards IT set up for your home

• Up to 2% matching RRSP / 401K

• Learning and Development opportunities

• Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service

Our Pledge to Fostering an Inclusive and Safe Workplace

Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.