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Senior niche Databricks and cybersecurity specialization at a strong brand reduces candidate competition.
High security specialization and Databricks-focused skills limit easy cross-industry transfers.
Explicit 10+ years, lead requirement, and mandatory Databricks/AWS/Python make hiring filters strict.
Build, operate, and continuously improve security analytics data pipelines and services on AWS and Databricks aligned to team architecture and runbooks.
Develop and support production Python services (e.g., Lambda, containers) for security data ingestion, enrichment, and integration with SOAR, APIs, and analytics consumers.
Lead technical delivery including architecture solutioning, mentoring team members, managing CI/CD pipelines, runbooks, monitoring, and sprint ceremonies within a global follow-the-sun model.
Minimum 10 years of software development experience, including 2+ years in a lead or senior technical role; cybersecurity or security analytics experience preferred.
Proven expertise with Python development and testing in production environments.
Hands-on experience building and operating data lakehouse pipelines on Databricks (Unity Catalog, Delta Lake, workflows) and AWS (Lambda, S3, IAM, Terraform/CDK).
Experience with CI/CD pipelines (e.g., Jenkins, CircleCI), production pipeline monitoring, troubleshooting, and participation in shared on-call support.
Experienced in cloud-native security analytics development with strong emphasis on scalable and cost-aware medallion lakehouse architectures.
Demonstrated ability to lead complex technical projects and mentor teams in a global, fast-paced, security-centric environment with agile methodologies.
Comfortable operating in hybrid technology environments working collaboratively with cross-functional global partners including architects, data science, and security operations.