Senior Analytics Engineer

Data Architecture & Engineering:

• Design, build and maintain scalable data pipelines and architecture across Snowflake, dbt, and AWS.
• Lead technical decisions around ingestion, transformation, orchestration, and data modeling.

Data Integrations & Foundational Modeling:

• Develop and improve integrations with internal systems, merchants, payment platforms, and external partners.
• Build well-structured, reusable dbt models that transform raw source data into trusted datasets.

Data Quality & Governance:

• Establish standards for data testing, monitoring, validation, documentation, and governance.
• Implement automated controls to identify issues early and improve data integrity.

Cross-Functional Partnership:

• Partner with Engineering, Analytics, Finance, Operations, and Financial Systems to understand business requirements.
• Communicate technical concepts and tradeoffs effectively to both technical and non-technical stakeholders.