Responsibilities
- Architect and oversee robust, high-availability data pipelines while establishing the standards for maintaining, troubleshooting, and optimizing existing ecosystems.
- Collaborate with global product, commercial and engineering leads and peers to design and execute a long-term data strategy for products in your scope.
- Drive high-level mentorship, technical design reviews, and architectural integrity across the Data Team while setting standards for code quality.
Requirements
- 10+ years of relevant experience in data engineering with a track record of technical leadership.
- Bachelor’s degree in a relevant field.
- Expertise in designing and implementing end-to-end data architectures for global-scale, customer-facing solutions, with a focus on data integrity and efficiency.
- Expert-level proficiency in Python and SQL for complex ETL/ELT pipeline construction, including event-driven data architectures.
- Proactive, self-starter mindset with the ability to lead problem-solving initiatives in a dynamic, high-stakes environment.
- Exceptional communication skills, with the ability to translate between technical execution and high-level business requirements.
- Deep experience in maintaining enterprise-grade, peer-reviewed codebases and advanced CI/CD workflows using GitLab CI, Docker, and Kubernetes.
- Significant experience with cloud-native architectures (GCP preferred).
- Experience tuning storage formats such as Parquet to ensure sub-second query performance for consumers.
Nice to Have
- Experience using modern data tooling (e.g. dbt) for pipeline inputs to customer-facing production systems.
- Experience leveraging Infrastructure as Code tooling (e.g. Terraform) to manage cloud architecture.
- Experience architecting solutions for geospatial datasets.
- Knowledge of earth observation and/or satellite operation concepts.
Additional Information
- Must be an independent operator who thrives in a dynamic, global environment.
- Deeply passionate about Planet’s mission and national security solutions.
- Collaborate closely with leadership across Product and Engineering.
- Scope focuses on architecture and evolution of data systems supporting global monitoring products.
