We are looking for a Senior Data Engineer to take ownership of our evolving data platform.
Our data environment is entering a significant growth phase. We are strengthening our Redshift-based warehouse, expanding our transformation capabilities with dbt, and investing in modern engineering standards across the stack.
In parallel, we are building a dedicated application layer for delivering data products. This role is responsible for designing and owning the data foundations that support it.
AI-assisted development is not a side experiment. It is a core part of how we engineer. We expect this role to actively leverage advanced AI development tools as part of daily work, accelerating design, implementation, validation and documentation while maintaining strong architectural judgment and production-level quality.
This position requires architectural thinking, long-term platform vision and the ability to lead complex initiatives from design through production in an AI-augmented engineering environment.
• Own the architecture and evolution of our cloud-based Data Warehouse.
• Lead complex data initiatives end to end, from requirements definition and technical design through implementation, deployment and post-production optimization.
• Apply AI-assisted development workflows to improve engineering velocity, code quality and system reliability.
• Design and evolve transformation standards and modeling practices using dbt as a strategic layer within the team.
• Architect the data foundations that power our data-driven applications.
• Translate business needs into structured, production-grade data solutions.
• Drive technical standards, consistency and engineering discipline across the data stack.
• Take full accountability for delivery, stability and long-term scalability of the systems you build.
• 8+ years of experience in Data Engineering with strong focus on modern cloud-based DWH architecture.
• Proven experience leading projects end to end in production data environments.
• Deep production experience with Redshift, dbt and orchestration frameworks such as Airflow.
• Strong SQL expertise and solid understanding of dimensional modeling and transformation best practices.
• Practical, daily experience using AI development tools as part of your engineering workflow.
• Ability to critically evaluate AI-generated output and maintain high architectural and production standards.
• Strong system design capabilities and full ownership mindset.
• Experience supporting data products or application-facing data environments.
• Ability to balance speed with quality and long-term architectural thinking.
Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them of manual work.
Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we're now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform that "connects every dot from request to reconciliation."
What sets us apart? We adapt to customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture, with vibrant, global offices. We've earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits.
Here at Stampli, we build exceptional products with exceptional people. Join our dynamic team where your career will thrive in an environment that champions creativity, collaboration, and growth!