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 magazines 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 youll play a critical part in delivering features across the Karbon platform. Youll evaluate and evolve our data architecture with Databricks at its core identifying opportunities to push our capabilities even further. Were 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 Workflows.
• Enable Data Integration and Access: Implement and manage data replication processes from Databricks to Snowflake. You will also be responsible for developing a low-latency query endpoint to serve our production Karbon application.
• Champion Data Quality and Governance: Establish best practices for data quality integrity and observability. You will build automated quality checks tests and monitoring for all data assets and pipelines to ensure trust in our data.
• Advance our MLOps Capabilities: Partner with the AI team to design and implement MLOps frameworks. This includes building pipelines for feature engineering model training evaluation and deployment to accelerate our machine learning lifecycle.
• Implement Robust Security and Governance Practices: Design and enforce a comprehensive security model for the data platform. This includes management of PII and implementing a fine-grained Role-Based Access Control (RBAC) model through IaC
• Collaborate and Mentor: Work within a cross-functional team of AI engineers analysts and developers to deliver impactful data products. As a senior member of the team you will mentor junior engineers lead by example and help define our technical standards.

What Sets You Apart (Qualifications)

• 7 years of relevant work experience as a data engineer with a proven track record of building and scaling data platforms
• Extensive experience with Databricks
• Extensive experience architecting ETL & ELT data migration patterns with strong proficiency in dbt.
• Experience scaling data pipelines in a multi-cloud environment
• Strong proficiency in Python
• Strong proficiency in SQL and a deep understanding of relational DBMS
• Experience with both batch and streaming data technologies
• DevOps experience including CI/CD and infrastructure-as-code (e.g. Terraform)
• Experience building and maintaining APIs or query endpoints for application data access
• Proven ability to lead technical projects and mentor other engineers
  
  

It would be advantageous if you have:

• Previous experience with Azure cloud services (Highly desirable)
• DevOps experience is highly desirable
• Practical MLOps experience such as implementing solutions with MLflow feature stores and automated model deployment and evaluation pipelines.

Ideal for engineers who thrive in structured environments complex domain systems and enterprise-scale reliability challenges.

Our Core Technology Stack

We build modern scalable software on a thoughtfully designed stack:

• Frontend: TypeScript and JavaScript across Ember (today) React and React Native.
• Backend: .NET / C# (Web Core) powering distributed services.
• Data: SQL Server with performance and integrity at scale.
• Cloud: Microsoft Azure.
• Observability: Metrics logging alerting and dashboards in Datadog because we believe you cant improve what you dont measure.

Our architecture continues to evolve as we scale. We invest in event-driven systems well-defined microservices and containerized deployments (Azure Container Apps) to build resilient decoupled and high-performing software.

If you care about clean service boundaries reliable systems and shipping with confidence youll feel right at home here.

Why Work at Karbon

• Gain global experience across the USA Australia New Zealand UK Canada and the Philippines
• 4 weeks annual leave plus 5 extra Karbon Days off a year
• Flexible working environment
• Work with (and learn from) an experienced high-performing team
• Be part of a fast-growing company that firmly believes in promoting high performers from within
• A collaborative team-oriented culture that embraces diversity invests in development and provides consistent feedback
• Generous parental leave

Karbon embraces diversity and inclusion aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If youve made it this far in the job description but your past experience doesnt perfectly align we do encourage you to still apply. You could still be the right person for the role!

We recruit and reward people based on capability and performance. We dont discriminate based on race gender sexual orientation gender identity or expression lifestyle age educational background national origin religion physical or cognitive ability and other diversity dimensions that may hinder inclusion in the organization.

Generally if you are a good person we want to talk to you.

If there are any adjustments or accommodations that we can make to assist you during the recruitment process and your journey at Karbon contact us at for a confidential discussion.

At this time we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!