Design and implement distributed data pipelines and ETL/ELT infrastructure using Databricks, with medallion architecture (bronze/silver/gold) and clear data contracts and lineage.
Build multi-tenant data infrastructure with robust isolation, performance, and cost management across cloud regions.
Lead integration of our AI-powered analytics platform with Databricks, including semantic layers, row-level security, and self-serve governance patterns.
Design and implement graph-based data structures for relationship mapping and client intelligence, integrating graph databases with Databricks as the source of truth.
Own the security and governance model: RBAC, PII masking, data residency, compliance monitoring, and tenant isolation.
Establish data engineering best practices: testing frameworks, CI/CD for data transformations, observability, and incident response.
Mentor junior engineers, lead architecture discussions, and communicate technical decisions to both technical and non-technical stakeholders.

7+ years as a data engineer, with 2+ years in a senior or staff-level role.
Deep expertise with cloud data warehouses, Databricks preferred.
Proficiency with ELT/ETL tools (Fivetran or similar) and transformation frameworks such as dbt.
Strong SQL and query optimisation skills at scale; deep understanding of dimensional modeling, fact tables, and conformed dimensions.
Experience implementing row-level security and RBAC in data systems, and familiarity with privacy regulations (GDPR, CCPA, HIPAA).
Infrastructure-as-Code experience (Terraform or equivalent).
You've shipped data platforms under real operational pressure and understand the trade-offs between perfect architecture and shipping on time.

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

Remote (Worldwide) — US, Australia, New Zealand, Canada, United Kingdom, Philippines

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions.
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.
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.
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.
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.
Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation.
Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

Karbon is hiring a Senior Data Engineer