About the Role
The role involves managing a team of data engineers, driving the development of data pipelines, and ensuring data infrastructure aligns with business goals and technical standards.
Responsibilities
- Lead a team of data engineers in building and maintaining data platforms
- Design scalable data architectures to support analytics and ML workflows
- Collaborate with data scientists and analysts to understand data needs
- Ensure data quality, reliability, and accessibility across systems
- Oversee ETL processes and data integration from multiple sources
- Implement data governance and security best practices
- Optimize data storage and query performance
- Drive adoption of modern data tools and frameworks
- Manage project timelines and deliverables for data initiatives
- Mentor team members in technical and professional growth
- Evaluate and integrate new data technologies
- Work with cross-functional teams to align data strategy with business goals
- Monitor system performance and troubleshoot issues
- Document data models, pipelines, and system architecture
- Support compliance with data privacy regulations
- Facilitate data onboarding for new business units
- Promote a culture of data-driven decision-making
- Lead technical design reviews and code quality standards
- Coordinate with DevOps for deployment and monitoring
- Ensure high availability and disaster recovery for data systems
- Manage cloud data infrastructure costs
- Improve data pipeline observability and monitoring
- Standardize data modeling practices across teams
- Drive continuous integration and delivery for data pipelines
- Foster collaboration between engineering and non-technical stakeholders
Nice to Have
- Master’s degree in a technical field
- Experience in forestry, environmental tech, or geospatial data
- Leadership in remote or distributed teams
- Hands-on experience with geospatial data processing
- Knowledge of satellite or drone data pipelines
- Experience with real-time analytics platforms
- Contributions to open-source data projects
- Public speaking or conference presentations in data engineering
- Certifications in cloud data technologies
- Experience scaling data teams from small to mid-size
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Hybrid remote with team collaboration flexibility
Team
Collaborative data team focused on scalable infrastructure and analytics
About Us
- We are a technology company leveraging satellite imagery and machine learning to monitor forest health and support sustainable land management.
- Our platform delivers actionable insights to organizations managing natural resources, helping them detect changes and respond proactively.
Why Join
- You will lead critical data infrastructure that powers environmental monitoring at scale.
- Opportunity to work on impactful technology addressing climate and sustainability challenges.
- Collaborative environment with engineers, scientists, and domain experts.
- Support for professional development and conference participation.
Available for qualified candidates
