remote
Director of Data & Analytics - Hack The Box
Engineering Manager
Lead a high‑impact data & analytics organization, architecting a GCP‑native platform that powers ML, AI, and BI across all product lines. Drive end‑to‑end data pipelines, modernize legacy systems, and deliver actionable insights to shape cybersecurity readiness for the AI era.
About the role
Key Responsibilities
- Own the end‑to‑end data platform strategy, overseeing a 10–12 person team across data engineering, analytics engineering, and BI.
- Architect and maintain a GCP‑native ecosystem (BigQuery, Pub/Sub, Dataflow, Bigtable) while modernizing legacy components (Aiven Kafka, ClickHouse, Snowflake).
- Enable analytics, ML, and AI workloads for Academy, Labs, Enterprise, and AI Range, ensuring high data quality and performance.
- Collaborate with product, security, and engineering leaders to translate business needs into scalable data solutions.
- Champion best practices in data governance, security, and compliance across all data assets.
Requirements
- 10+ years of experience in data engineering and analytics at scale, with a proven track record of leading technical teams.
- Deep expertise in GCP services (BigQuery, Pub/Sub, Dataflow, Bigtable) and experience with Snowflake, Kafka, and ClickHouse.
- Strong background in building ML/AI pipelines and delivering BI insights.
- Excellent communication skills and ability to influence cross‑functional stakeholders.
- Passion for cybersecurity and a forward‑looking mindset toward AI‑driven solutions.
Skills
gcpsnowflakekafkamachine learning