Build and scale Coalition's data platform across the cybersecurity value chain. Design Medallion Architecture on Snowflake using dbt, enable BI in Looker, and create data foundations for AI/ML risk scoring applications.
Experience with Looker and LookML development
Active user of Cursor or other AI-assisted coding tools
Prior experience in cybersecurity or cyber insurance
Experience building data foundations for AI agents
Design and implement Star Schema models within Medallion Architecture on Snowflake
Build scalable ELT pipelines using Snowflake and dbt with high data quality and observability
Define and implement SLIs for data freshness, volume, and schema integrity with automated alerting
Develop and maintain the LookML semantic layer for business stakeholders
Implement data masking, RBAC, and secure data handling practices
Act as technical peer through code reviews and sharing dbt and Python best practices
Build feature stores and data foundations for AI-driven risk scoring and automated underwriting
Remote-first organization with Canada-specific geographic salary bands
Role supports stakeholders, research team, and data science team with cybersecurity data
Application status updates provided within 45 days of final interview
AI-assisted tools used for application review with human recruiters making final decisions
135,482 β 227,700 USD
/ year
184,000 β 356,500 USD
/ year
170,000 β 190,000 USD
/ year
181,000 β 241,000 CAD
/ year
80,000 β 95,000 USD
/ year