AI-driven threats and human error are today's biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. Fable is a security platform that mitigates human risks to the business.
Requirements
- Proficiency in SQL, Python, and dbt for data modeling and transformation.
- Experience building and maintaining pipelines in Databricks, Spark, or similar distributed compute environments.
- Strong understanding of data versioning, reproducibility, and ETL orchestration.
- Hands-on experience with AWS S3 and modern data storage patterns.
- Ability to design for scalability, reliability, and observability.
- Experience with data release management, feature stores, semantic layers, and/or historical record tracking for behavioral or security data.
- Familiarity with ML Ops, Airflow, or other orchestration tools.
Responsibilities
- Design, build, and maintain scalable data pipelines in Databricks, leveraging dbt, SQL, and Python for transformation and orchestration.
- Manage data ingestion and versioning across multiple behavioral and security data sources.
- Implement data versioning frameworks and reproducible datasets for experimentation and risk modeling.
- Build tooling to support scalable data releases and consistent historical tracking of employee risk behavior.
- Partner with data scientists to productionize analytical and ML-ready datasets.
- Define and maintain best practices for data quality, documentation, and lineage.
- Optimize performance, storage, and cost efficiency across the data platform.
Other
- 3–7 years of experience as a Data Engineer, Analytics Engineer, or similar role.
- Experience collaborating closely with data scientists, designers, and backend engineers in a fast-moving environment.
- Experience in a cybersecurity, risk, or compliance-focused domain.
- Prior experience in an early-stage startup or high-growth company.
- We work from our San Francisco office three days a week, fostering deep collaboration and creative problem-solving.
