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Salary: USD 199,750 - 235,000 / annual
Horizon3.ai is a fast-growing cybersecurity company building NodeZero, an autonomous penetration testing platform used by organizations ranging from educational institutions to Global 100 enterprises and government agencies. The platform helps teams proactively identify and verify exploitable attack vectors before criminals exploit them.
You will design, build, and own the data platform underlying business-critical pipelines that support account provisioning, product analytics, warehouse operations, and Tableau reporting. This role involves expanding the platform into a globally deployed system spanning the warehouse, orchestration, and BI across multiple regions with a special focus on Federal workloads.
Key responsibilities:
- Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau
- Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform deployed across multiple regions
- Evaluate and shape warehouse strategy, including lakehouse platforms such as Databricks
- Define and evolve batch or event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs
- Design and evolve warehouse schemas and data models
- Build observability into pipelines and platform components
- Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end
You will work in a team of former U.S. Special Operations cyber operators, startup engineers, and cybersecurity practitioners committed to solving ineffective security tools, alert fatigue, blind spots, and the cybersecurity skills shortage.
REQUIREMENTS:
- 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience
- Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals
- Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability
- Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns
- Experience owning production data infrastructure end to end
- Strong collaboration and ownership across dependent teams
- Experience and ability to work within US Government enclaves from FedRAMP through TS cloud environments
- Experience with cloud-based data platforms and distributed data processing (e.g., AWS Glue, Databricks, Snowflake, or Spark-based pipelines)
- Tableau or a comparable BI platform
- SQL and Python
- Workflow orchestration tooling such as Apache Airflow, Dagster or similar
- US Citizen with ability to gain and maintain a TS Security clearance
