Principal Data System Developer Get AI-powered advice on this job and more exclusive features. VRIFY is positioned at the forefront of the mining industry's transformation, leveraging cutting-edge AI to revolutionize mineral exploration. With a focus on AI drill targeting, VRIFY is expanding its capabilities by synthesizing vast amounts of geological information.

We are seeking an exceptional Principal Data System Developer to own the technical evolution of our geospatial data infrastructure. This senior IC role is designed for a seasoned geospatial engineer who thrives at the intersection of architectural vision and hands‑on implementation. You will serve as the technical authority for geospatial data systems, setting direction for engineering standards, and ensuring our pipelines and infrastructure scale to power the next generation of VRIFY’s geospatial AI platform.

Unlike a traditional management role, this is a high‑impact individual contributor position where leadership comes through technical expertise, influence, and system design excellence. Serve as the primary technical authority on geospatial data systems within VRIFY. Translate architectural vision into detailed technical designs and execution roadmaps.

Mentor senior and mid-level engineers through design reviews, pairing, and technical guidance. Establish best practices for geospatial data quality, system performance, and scalability. Architect and implement advanced ETL/ELT pipelines for geological, geophysical, and remote sensing datasets.

Define and enforce standards for geospatial data cataloging and metadata (e.g., Lead performance optimization across distributed datasets, including spatial indexing and tiling strategies. Own the architecture and technical direction of VRIFY’s AWS-based geospatial infrastructure. Design and scale STAC API services, specialized spatial databases (PostGIS, PgSTAC), and distributed processing frameworks (Spark, Dask,



Pangeo).

Partner with platform engineers to push the boundaries of large-scale geospatial analytics in the cloud. Lead development of APIs and OGC-compliant services for seamless access to geospatial assets. Architect frameworks to harmonize data across coordinate systems, projections, and heterogeneous sources.

Partner with the Data Architect on high-level design and system evolution. Collaborate with ML engineers to ensure pipelines generate reliable training and inference-ready data. Bachelor’s or Master’s degree in Computer Science, Software Engineering, GIS, or related field. 12+ years in data engineering or data systems, with at least 6+ years focused on geospatial systems.

Recognized expert in building and scaling geospatial pipelines and distributed data infrastructure. Expert‑level skills in Python, SQL, and distributed compute (Spark, Dask, AWS Glue, Pangeo).

Experience with hyperspectral remote sensing data. Proficiency in large-scale point cloud data processing. Trusted technical leader who can influence architecture without formal authority. Track record of publishing or contributing to geospatial open-source projects a plus.

Extensive coverage, medical, dental, and vision plans. Including vacation days, sick/personal care days, public holidays plus extra time during the holiday season. Flexible work hours, remote work options plus an option to use workspace in Downtown Vancouver.

Career growth program to help our team advance their careers.

Performance Bonuses Wellness Programs: Fitness allowance, work-from-home allowance, mental health support. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. If you have a disability or any special needs that we might need to accommodate, please let us know. Mid‑Senior level Full time Engineering, Information Technology, and Research Software Development #

📌 Principal Data System Developer (Vancouver)
🏢 VRIFY
📍 Vancouver