Staff Data Engineer
About The Position
Blackpoint Cyber is looking for an experienced Staff Data Engineer who will operate as 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. 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.
Requirements
- 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.
- Experienced in Cloud infrastructure & operations (AWS required; Azure/GCP helpful)
- Experienced in Data streaming & event-driven processing (Kafka, Spark Structured Streaming)
- Experienced in Distributed ETL & batch processing (Spark, EMR, Kubernetes-based compute)
- Primary programming language: Python (data pipelines, ETL, orchestration)
- 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 Haves
- TypeScript for platform services/tooling (preferred)
- Go (Golang) is a strong plus since all services run on Kubernetes (EKS)
- 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
Responsibilities
- 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.
Benefits
- competitive Health, Vision, Dental, and Life Insurance plans
- a robust 401k plan
- Discretionary Time Off
- equity participation is available to employees globally
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
