Senior Data System Developer

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. This integration enhances the precision and efficiency of exploration strategies, offering our clients innovative solutions that depart from traditional methods.

VRIFY is seeking an experienced Senior Data System Developer to implement and optimize our geospatial data infrastructure and processing systems under the guidance of our Data Architect. This critical role will translate architectural vision into production-ready systems, focusing on building robust, scalable data pipelines that transform complex geological and geospatial data into valuable analytical assets. You will work closely with our Data Architect to implement data blueprints and standards while collaborating with machine learning engineers and geoscience teams to create efficient data workflows that enable advanced geospatial analytics.

As a Senior Data System Developer, you'll be instrumental in bringing the Data Architect's designs to life through the implementation of modern geospatial data standards, technologies, and processing frameworks. Your expertise in implementing high-performance geospatial data pipelines, spatial data catalogs, and specialized earth observation data formats will be essential in building the foundation for our geospatial AI capabilities.

Key Responsibilities

Geospatial Data Pipeline Development & Optimization

• Implement and maintain scalable ETL/ELT pipelines for processing complex geological and earth observation datasets
• Build robust data workflows for standardizing and cataloging geospatial data using industry standards like STAC (SpatioTemporal Asset Catalog)
• Develop processing systems for cloud-optimized geospatial formats including GeoParquet, Zarr, Cloud-Optimized GeoTIFF (COG), and GeoJSON
• Implement spatial indexing and tiling strategies for efficient geospatial data access and processing
• Create data transformation processes for generating ML-ready geospatial training data
• Optimize geospatial query performance across distributed datasets
• Geospatial Data Infrastructure & Systems
• Implement cloud-based geospatial data infrastructure on AWS according to the Data Architect's guidelines
• Deploy and configure STAC API services and metadata catalogs for geospatial asset discovery
• Implement data lakes optimized for large-scale geospatial data using columnar and chunked storage formats
• Configure specialized geospatial databases and services (PostGIS, PgSTAC, GDAL-based systems)
• Set up distributed processing frameworks for parallel geospatial analytics
• Establish monitoring and performance metrics for geospatial data systems
• Data Integration & Spatial APIs
• Build data integration frameworks connecting various geological, geophysical, and remote sensing data sources
• Implement OGC-compliant web services and APIs for standardized geospatial data access
• Develop systems to harmonize data from different coordinate reference systems and projections
• Create interfaces between geological databases, GIS systems (ArcGIS, QGIS), and analytics platforms
• Implement vector and raster tile services for web-based visualization
• Develop automated data ingestion processes for diverse geological and earth observation data formats
  
  

Technical Implementation & Support

• Implement Data System Developing solutions based on the Data Architect's blueprints and reference models
• Provide technical feedback to the Data Architect on implementation challenges and opportunities
• Document implemented data flows and prepare technical documentation
• Support the Data Architect in technology selection and proof-of-concept development
• Ensure implemented solutions conform to established data governance standards
• Identify and address technical debt in existing data systems
• Cross-team Collaboration
• Work closely with the Data Architect to implement architectural designs and patterns
• Collaborate with ML engineers to implement geospatial feature stores and training data pipelines
• Partner with geospatial scientists to understand specialized data requirements
• Support cloud platform engineers with infrastructure optimization for geospatial workloads
• Assist data scientists with efficient access to geospatial datasets for analytics
• Participate in agile development processes and sprint planning
  
  

Required Qualifications

• Bachelor’s degree in computer science, Software Engineering, GIS, or related technical field
• 7+ years of experience in Data System Developing, with at least 3 years focusing on geospatial data systems
• Strong expertise in implementing geospatial data pipelines and processing workflows
• Experience with cloud-optimized geospatial formats (GeoParquet, Zarr, COG, STAC)
• Proficiency in geospatial libraries and tools (GDAL/OGR, Rasterio, GeoPandas, PySTAC)
• Extensive experience with AWS geospatial data services and storage solutions
• Knowledge of OGC standards and spatial web services
• Experience with workflow orchestration tools (Airflow, Step Functions, etc.)
• Understanding of coordinate reference systems, projections, and geospatial operations
• Ability to work effectively with Data Architects to implement technical solutions
  
  

Technical Skills

• Geospatial Technologies: STAC, GeoParquet, Zarr, Cloud-Optimized GeoTIFF (COG), GeoJSON
• Geospatial Libraries: GDAL/OGR, Rasterio, GeoPandas, PySTAC, Xarray
• Programming & Scripting: Advanced Python, SQL, Geospatial Python ecosystems
• Data Processing: Apache Spark, AWS Glue, Dask, Pangeo
• Spatial Databases: PostgreSQL/PostGIS, PgSTAC
• Workflow Orchestration: Apache Airflow, AWS Step Functions
• Cloud Platforms: AWS geospatial services, Earth Observation with AWS
• Containerization: Docker, Kubernetes
• Infrastructure as Code: Terraform, CloudFormation
• CI/CD: GitHub Actions, Jenkins
• Monitoring: Prometheus, CloudWatch
  
  

Additional Skills

• Implementer who excels at translating architectural designs into functional systems
• Problem solver who thrives on building efficient, scalable geospatial data solutions
• Detail-oriented professional with a focus on data quality and spatial accuracy
• Collaborative team player who works effectively with architects and technical teams
• Self-motivated learner who stays current with emerging geospatial technologies
• Practical engineer who balances technical excellence with pragmatic solutions
• Resilient troubleshooter who can diagnose and resolve complex geospatial data issues
  
  

What We Offer

• Health Benefits: Extensive coverage, medical, dental, and vision plans.
• Paid Time Off (PTO): Including vacation days, sick/personal care days, public holidays plus extra time during the holiday season.
• Work-Life Balance: Flexible work hours, remote work options plus an option to use workspace in Downtown Vancouver.
• Professional Development: Career growth program to help our team advance their careers.
• Performance Bonuses
• Wellness Programs: Fitness allowance, work-from-home allowance, mental health support.
• Retirement Plan (RRSP/DPSP)
  
  

Terms Of Employment

• Full-time, Permanent, Remote work in Canada.
• Completion of a background check will be required for this position.
• Must be legally entitled to work in Canada.
  
  

This job description has been written to provide an accurate reflection of the current job and to include the general nature of work performed. It is not designed to contain a comprehensive detailed inventory of all duties, responsibilities, and qualifications required of the employees assigned to the job. Management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.

We strive to create an environment where every employee feels valued, respected, and empowered regardless of their race, gender, age, religion, identity, or experience. We understand that unique perspectives and backgrounds bring invaluable insights and contribute to the richness of our culture and the effectiveness of our solutions. If you have a disability or any special needs that we might need to accommodate, please let us know.