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Strong brand plus metro location balanced by niche Databricks/PySpark cyber skills, reducing applicant density.
Role requires domain-specific cyber and data-platform expertise, making transferable backgrounds limited without specialist experience.
Explicit 7-year requirement plus specific Databricks, PySpark, cloud and cybersecurity skillset makes shortlisting strict.
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Lead cybersecurity and technology assessments across data platforms, cloud, and enterprise ecosystems to identify security and data risks.
Develop and automate assessment methodologies using Python, PySpark, SQL, and tools like Databricks to validate controls and detect anomalies.
Evaluate and improve security controls in DevSecOps pipelines, cloud environments (AWS, Azure, GCP), data flows, and applications with remediation support.
Bachelor's or Master's degree in Computer Science, IT, Cybersecurity, Engineering, or related field.
At least 7 years of experience in cybersecurity, technology risk, data security, or related domains.
Technical skills required: Python, PySpark, SQL, Databricks, cloud data platforms (AWS, Azure, GCP), DevSecOps pipeline knowledge (GitHub, Jenkins, Azure DevOps, etc.).
Work Experience Required: Minimum 7 years in relevant cybersecurity and technology risk roles.
Experienced in bridging cybersecurity and data/technology engineering teams with strong understanding of data architectures and cyber risk.
Proficient in assessment automation and capable of independently managing complex security assessments and reporting.
Skilled in interpreting technical security findings into business risks and actionable recommendations with good stakeholder communication.