Staff Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee the architecture and development of Blackpoint Cyber's enterprise data platform.

• Function as the technical lead for the Data Platform Team.

• Propel foundational initiatives across ingestion, storage, transformation, governance, observability, and cost optimization.

• Direct architectural choices concerning ingestion, modeling, storage, and orchestration.

• Design and manage pipelines for integrating survey data, MDR events and alerts, and Agent Business Intelligence data.

• Implement and take ownership of the Medallion Architecture (Bronze/Silver/Gold).

• Create a scalable Gold BI layer that supports analytics, reporting, and AI.

• Deliver multi-cloud integrations with Azure, AWS, and GCP.

• Execute identity integrations using Auth0 and Okta.

• Enhance observability across pipelines, storage layers, and workflows through metrics, lineage, SLAs/SLOs, and alerting.

• Establish data lifecycle practices for retention, versioning, partitioning, GDPR compliance, backup, and archival.

• Collaborate with Product, Engineering, AI, and Security teams to ensure data availability, quality, and reliability.

• Mentor Senior Data Engineers and provide technical guidance for the Data Platform roadmap.

• Report directly to the Head of Data Platform.

• Support Blackpoint Cyber's cybersecurity mission and safeguard its expanding customer base.

⛳️ Requirements

• Over 10 years of hands-on experience in Data Engineering with distributed systems and modern data architecture.

• Demonstrated experience in leading complex data initiatives and mentoring senior engineers.

• Capability to design for scalability, resiliency, performance, security, and cost efficiency.

• Data-first, analytical mindset accompanied by strong problem-solving skills.

• Exceptional communication and influencing skills across engineering and leadership.

• AWS experience is required; familiarity with Azure/GCP is beneficial.

• Proficient in Kafka and Spark Structured Streaming.

• Experience with Spark, EMR, and Kubernetes-based compute.

• Proficiency in Python for data pipelines, ETL, and orchestration.

• Strong SQL and data modeling skills.

• Knowledge of Iceberg and Parquet.

• Familiarity with Docker and Kubernetes.

• Experience with CI/CD, GitFlow, and DevOps best practices.

• Understanding of data versioning, lifecycle management, quality checks, and governance.

• TypeScript knowledge is preferred.

• Go (Golang) experience is a significant plus.

• Experience with Trino/Presto, graph engines, or search systems is advantageous.

• Familiarity with BI semantic layers or medallion architectures is also a plus.

• Background in cybersecurity, SIEM, or event-driven systems is advantageous.

• Familiarity with Agile Scrum methodologies is a bonus.

• Must be authorized to work in Canada without restrictions.

• Must not require sponsorship to work in Canada.

🏝️ Benefits

• Equity participation available to employees globally, with program details varying by location and employment structure.

• For eligible employees in the US: Health Insurance.

• For eligible employees in the US: Vision Insurance.

• For eligible employees in the US: Dental Insurance.

• For eligible employees in the US: Life Insurance.

• For eligible employees in the US: 401k plan.

• For eligible employees in the US: Discretionary Time Off.

• Other minor perks.

• International employees receive competitive benefits in accordance with local market standards and applicable country requirements.

• Discretionary bonus may be awarded.