Staff Data Engineer

Blackpoint Cyber; Canada; Hybrid; CAD 140,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Competitive benefits

Job summary

Blackpoint Cyber is seeking a Staff Data Engineer to lead the architecture and development of its enterprise data platform. You will drive ingestion, storage, transformation, governance, observability, and cost optimization across multi-cloud environments.

You will mentor senior data engineers and partner with product, engineering, AI, and security teams to ensure data availability, quality, and reliability.

Qualifications

• 10+ years hands-on data engineering experience with distributed systems.
• Proven experience mentoring senior engineers.
• Ability to architect for scalability, resiliency, performance, security, and cost efficiency.
• Data-first, analytical mindset with strong problem-solving skills.

Responsibilities

• Lead architecture and development of Blackpoint's enterprise data platform.
• Drive ingestion, storage, transformation, governance, observability, and cost optimization.
• Mentor Senior Data Engineers and provide technical leadership for the Data Platform roadmap.
• Deliver multi-cloud integrations (Azure, AWS, GCP) and identity integration with Auth0/Okta.
• Strengthen observability with metrics, lineage, SLAs/SLOs, and data lifecycle practices.

Skills

Data engineering

Mentoring seniors

System architecture

Data governance

Communication across teams

Tools

AWS

Kafka

Spark

EMR

Kubernetes

Python

TypeScript

Go

SQL

Iceberg/Parquet

Docker

Job description

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 learningsto 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

• 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.