Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.
What You'll Do
Blackpoint Cyber is a provider of leading-edge cybersecurity threat hunting, detection, and response technology. Blackpoint was founded by former National Security Agency (NSA) cyber operations experts that applied their expertise to bring nation/state grade technologies to commercial customers around the world.
We are looking for an experienced Staff Data Engineer who will operate in a Technical Lead for Blackpoint's Data Platform Team. Candidates will directly support Blackpoint's cyber security mission, helping to stop cyber-attacks, and protecting Blackpoint's rapidly growing customer base.
Summary:
As Staff Data Engineer, you will lead the architecture and development of Blackpoint Cyber's enterprise data platform. You will drive foundational work across ingestion, storage, transformation, governance, observability, and cost optimization.
This role reports directly to the Head of Data Platform.
Who You Are
Blackpoint Cyber is looking for someone who has:
10+ years of hands-on Data Engineering experience with distributed systems and modern data architecture.
Proven experience driving complex data initiatives and mentoring senior engineers.
Ability to architect for scalability, resiliency, performance, security, and cost efficiency.
A data-first, analytical mindset with strong problem-solving skills.
Excellent communication and influence skills across engineering and leadership.
What You'll Bring
Experienced in:
Cloud infrastructure & operations (AWS required; Azure/GCP helpful)
Data streaming & event-driven processing (Kafka, Spark Structured Streaming)
Distributed ETL & batch processing (Spark, EMR, Kubernetes-based compute)
Primary programming language: Python (data pipelines, ETL, orchestration)
TypeScript for platform services/tooling (preferred)
Go (Golang) is a strong plus since all services run on Kubernetes (EKS)
SQL & data modeling
Modern table formats (Iceberg, Parquet)
Containerization & orchestration (Docker, Kubernetes)
CI/CD, GitFlow, and DevOps best practices
DataOps: data versioning, lifecycle management, quality checks, governance
Nice to Have:
Experience with Trino/Presto, graph engines, or search systems
Experience with BI semantic layers or medallion architectures
Background in cybersecurity, SIEM, or event-driven systems
Familiarity with Agile Scrum
How You'll Make an Impact
Lead architectural decisions for the Data Platform across ingestion, modeling, storage, and orchestration.
Design and maintain pipelines for onboarding new data domains:
Survey data
MDR events & alerts
Agent Business Intelligence (accounts, tenants, metadata)
Implement and own the Medallion Architecture (Bronze/Silver/Gold) to support analytics, reporting, and AI, including building a scalable Gold BI layer.
Deliver multi-cloud integrations with Azure, AWS, GCP and identity integration with Auth0/Okta.
Strengthen observability across pipelines, storage layers, and workflows — introducing metrics, lineage, SLAs/SLOs, and alerting.
Implement robust 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 leadership for the Data Platform roadmap.
Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment.
For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks. International employees receive competitive benefits in accordance with local market standards and applicable country requirements.
Blackpoint believes all employees should share in the company’s success – equity participation is available to employees globally, with program details varying by location and employment structure.
10+ years of hands-on data engineering experience with distributed systems and modern data architecture. Requires AWS, Python, scalable platform architecture, and technical leadership; Kafka, Spark, Kubernetes, SQL, and data governance experience.
Key Responsibilities
- leading architecture
- designing pipelines
- mentoring engineers
Skills & Tools
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Kafka, Spark Structured Streaming, Apache Spark, Amazon EMR, Kubernetes, Python, TypeScript, Go, SQL, Iceberg, Parquet, Docker, GitFlow, Trino, Presto, Auth0, Okta
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — Canada
- Salary: CAD 131,000 – 164,300 / year
- Languages: English
Benefits
- 401k matching
- Retirement plan
About Blackpoint Cyber
A cybersecurity technology provider delivering threat hunting, detection, and remediation solutions. — Industry: Information Technology