About VRIFY:

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.

Our mission extends beyond technological advancement. We are committed to transforming how mining companies engage with investors, aiming to foster a more transparent and accountable mining investment ecosystem. VRIFY's technology enables immersive 3D and 360° presentations that provide investors with a vivid and detailed visual context, making complex geological data accessible and engaging.

As we scale our AI and analytics capabilities, we're hiring a Director of Data Engineering to lead the strategy, architecture, and execution of our data infrastructure. This role is equal parts platform builder, team leader, and operational fire-stopper. You’ll own everything from ingestion pipelines to data quality, from platform scalability to internal support models. Your mandate is clear: make our data trustworthy, accessible, performant—and a competitive advantage.

Key Responsibilities:

• Lead and scale the Data Engineering team, including backend-focused engineers, platform builders, and data support personnel.
• Own the data platform roadmap, balancing infrastructure investments with the evolving needs of AI/ML, product, and analytics stakeholders.
• Drive architectural decisions across ETL/ELT pipelines, data lake/warehouse layers, eventing systems, and observability tooling.
• Implement best-in-class data governance, including data quality frameworks, cataloging, lineage tracking, and role-based access control.
• Collaborate with AI/ML, product, and analytics teams to ensure data readiness for downstream use cases, including model training and business intelligence.
• Operate the data platform as a reliable internal product, including owning SLAs, support channels, on-call rotations, and documentation standards.
• Partner with Security and Compliance to align with privacy requirements and ensure data handling practices meet enterprise standards.
• Establish and maintain dashboards and telemetry to monitor data platform health, costs, and usage patterns.
• Provide technical mentorship, career development, and team leadership, building a culture of high standards and strong collaboration.

Qualifications and Core Competencies:

• 8+ years in data engineering, software engineering, or platform engineering, with 3+ years in a technical leadership or director-level role.
• Strong architectural experience across batch and real-time data pipelines, storage layers, and distributed systems.
• Proven track record building data platforms using tools such as dbt, Airflow, Spark, Kafka, Snowflake, Databricks, or similar.
• Fluency in SQL, Python, and one or more modern data modeling methodologies (e.g., star schema, lakehouse, dimensional modeling).
• Deep understanding of DevOps for data, including CI/CD, data testing, observability, cost optimization, and cloud infra (AWS preferred).
• Demonstrated experience in data governance, PII handling, privacy policy enforcement, and related compliance practices.
• Ability to translate messy requirements into clean architecture, balancing technical debt with delivery velocity.
• Excellent cross-functional communication skills—you know how to work with product, AI, finance, and executive stakeholders.

Nice to have:

• Experience building or supporting LLM/RAG pipelines, data prep for embeddings, or unstructured text/document processing.
• Familiarity with data contracts, CDC tools (e.g., Debezium), and event-driven architectures.
• Prior ownership of internal support processes (triage, incident response, runbooks) for data platform services.
• Background in geospatial data, mining data, or scientific/engineering domains.
• Contributions to open source data infrastructure or involvement in data engineering community spaces.

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 holiday season.
• Work-Life Balance: Flexible work hours, remote work options, plus option to use work space in Downtown Vancouver.
• Professional Development: Career growth program to help our team advance their career.
• Performance Bonuses
• Wellness Programs: Fitness allowance, work from home allowance, mental health support.
• Retirement Plan: RRSP/DPSP
• Salary Range: 165K-190K

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.