About the role
You will own, build, and maintain our Pythonic data pipeline and enrichment system on top of PostgreSQL and BigQuery. This system powers security analytics, detections, and intelligence. A core part of your job will be to design and implement new components, improve reliability and performance, and ensure data quality and observability.
Key Responsibilities
Own, build, and maintain production data pipelines and enrichment services using Python, PostgreSQL, and BigQuery.
Architect data systems end to end, including design, deployment, monitoring, and iterative improvement.
Analyze complex security datasets and SaaS telemetry to uncover risks, patterns, and opportunities.
Research emerging threat vectors and contribute to automated intelligence feeds and published reports.
Work across security domains such as SSPM, Shadow Integrations, DLP, and GenAI Protection.
4+ years in data-focused roles (engineering, analytics, science)
Strong SQL and Python skills
Experience with cloud platforms (GCP, AWS, Azure) and modern data warehouses (BigQuery, Databricks)
Proven ability to build data infrastructure from scratch
Ability to turn complex data into actionable insights
Fast learner with systematic problem-solving skills
Comfortable with technical research in unfamiliar domains
Independent and determined, with strong collaboration skills
BSc in Computer Science, Mathematics, Statistics, or related field
Excellent communication skills for technical and non-technical audiences
