Senior Analytics Engineer
Core
Designing and building robust data models, governing data assets, and establishing the semantic layer to power analytics, ML features, and customer-facing data products for a fintech identity risk platform.
Role type
Senior Analytics Engineer (Greenfield/Founding)
Builds
Authoritative dbt models, semantic layer definitions, and native warehouse data delivery products.
Domain
Fintech / Identity Risk / Data Infrastructure
Deliverable
production ML models | product features
Required skills
dbt, SQL, Snowflake, data modeling fundamentals, semantic layer design, data quality observability, testing frameworks, documentation standards
Preferred skills
Streaming/replication tools (Artie), native warehouse data sharing, agentic/LLM workflow infrastructure, BI tooling (Looker/Tableau)
Technologies
dbt, Snowflake, Artie
Responsibilities
Design and build robust dbt models serving as the foundation for analytics and ML; Own and evolve the semantic layer defining metrics and business logic; Partner with Engineering and Data Science to optimize Snowflake warehouse performance; Establish best practices for data modeling, testing, and code review; Collaborate on scoping and delivering native warehouse data delivery to customers; Proactively identify and address data quality issues to build governance frameworks; Influence the practice of Analytics Engineering to set standards in a greenfield function.
Seniority
Senior, hands-on IC with greenfield/standard-setting responsibilities