Staff Data Engineer

The Opportunity

Architect and scale Imprint's core data platform, including Snowflake, dbt Cloud, and real-time CDC pipelines, building infrastructure designed for the next decade of growth.

Build secure, compliant partner data delivery systems via Snowflake shares, S3/SFTP integrations, and Marketplace listings that support Imprint's expanding partner ecosystem.

Establish mission-critical financial reporting pipelines with exceptional accuracy, reliability, and auditability.

Establish company-wide data standards for modeling, lineage, contracts, and orchestration, championing data reliability, observability, and trust across all systems.

Lead the adoption of AI-assisted development workflows and evaluate how AI tooling (Claude, Copilot, Cursor) can accelerate pipeline development, testing, documentation, and data quality monitoring across the team.

Elevate engineering practices across Analytics, Data, and Engineering teams through architecture reviews, reusable frameworks, mentorship, and hands-on technical guidance.

Make strategic technology decisions that balance innovation with pragmatism, influencing technical and business leadership across multiple departments.

Required

• 10+ years of experience in data engineering or related fields, with proven ownership of platform-level architecture and strategy.
• Deep expertise in Snowflake, dbt Cloud, Change Data Capture frameworks, orchestration tools (Airflow, dbt Cloud), and reverse ETL.
• Strong background in external data sharing and partner integrations, including Snowflake data shares, S3/SFTP pipelines, and Marketplace listings.
• Proven ability to design and implement data governance and observability systems: data contracts, lineage tracking, anomaly detection, and automated monitoring.
• Strong engineering skills in SQL and Python, with emphasis on testing, CI/CD, and maintainability in complex data systems.
• Active experience with AI-assisted development tools integrated into engineering workflows, with an eye toward scaling those practices across a team.
• Reputation as a mentor and technical authority who elevates the quality and rigor of the people and teams around them.
• Exceptional ability to communicate and influence across technical and business leadership, translating platform decisions into business impact.

Nice to Have

• Experience in fintech, payments, lending, or regulated financial environments where data accuracy and compliance are non-negotiable.
• Experience building or scaling data infrastructure at a high-growth startup from early stage through rapid expansion.
• Familiarity with agentic AI patterns and how they apply to data workflows: automated pipeline generation, prompt-driven data exploration, or AI-powered monitoring and anomaly resolution.
• Background in building data platforms that serve ML and risk modeling workloads alongside analytics and reporting.