Lead Data Engineer

About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List. Lead Data Engineer Our Engineering Standards Balance Speed and Quality Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential. Collaborate Effectively Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments. Build and Maintain Systems Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement. Operate with Autonomy A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise. Ownership and Accountability Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments. AI-Enabled Engineering AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential. Contribute to Team Culture Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration. About the Role! Karbon is at the cutting edge of AI and data products, and this role sits at the heart of that innovation. Supporting both our AI and Insights teams, you'll play a critical part in delivering features across the Karbon platform. You'll evaluate and evolve our data architecture — with Databricks at its core — identifying opportunities to push our capabilities even further. We're looking for a hands-on builder and strategic thinker who can design scalable, robust, and forward-looking data solutions. We are seeking an experienced Lead Data Engineer who thrives in a fast paced environment. You will have the unique opportunity to build the new unified data platform to power our suite of AI tools and insight delivery. What you will own: Architecting a unified data platform : Design, implement, and own our new unified data platform on Databricks. You will be instrumental in establishing the Medallion Architecture (Bronze, Silver, Gold layers) using dbt for data modeling and transformations. Develop Data Pipelines: Create and manage resilient data pipelines for both batch and real-time processing from various sources in our Azure data ecosystem. This includes building a "hot path" for streaming data and orchestrating complex dependencies using Databricks Workfl