About The Position

The Senior Data Security Architect will advance enterprise data security capabilities at a global financial services institution. The role focuses on developing scalable protection frameworks and consistent security controls across traditional databases, cloud platforms, hybrid environments, and modern analytics platforms. It includes strategic architecture work, technology evaluation, security automation support, and cross-functional collaboration with security, technology, risk, compliance, legal, and privacy teams.

Requirements

  • 10+ years of relevant experience in information security, enterprise architecture, data security, or related technology disciplines, including substantial experience designing enterprise data protection solutions.
  • Strong expertise in data security architecture, including data discovery, classification, DLP, encryption, key management, access governance, and monitoring.
  • Demonstrated experience securing enterprise data platforms, particularly Databricks, Oracle, and SQL-based environments.
  • Strong understanding of data architecture, data integration, analytics platforms, and security requirements for structured and unstructured information.
  • Experience designing security controls across cloud, hybrid, and traditional enterprise technology environments.
  • Knowledge of enterprise security architecture frameworks, regulatory requirements, and data protection principles.
  • Experience evaluating security technologies, assessing architecture gaps, and developing target-state solutions.
  • Ability to support enterprise-scale technology implementations and security automation initiatives.
  • Understanding of data access controls, security monitoring, resilience, and recovery strategies.
  • Strong documentation skills, including developing architecture diagrams, security standards, and technical recommendations.
  • Excellent communication, stakeholder management, and analytical problem-solving skills.
  • Ability to work effectively with security architects, engineers, technology operations, risk, compliance, legal, and privacy teams across a global organization.

Responsibilities

  • Design and enhance enterprise data security architectures for sensitive information across cloud, hybrid, and on-premises environments.
  • Establish security architecture standards for data discovery, classification, Data Loss Prevention (DLP), encryption, key management, access governance, monitoring, and recovery.
  • Develop security strategies for enterprise data platforms, including Databricks, Oracle, SQL-based systems, and analytics environments.
  • Define security controls for structured and unstructured data throughout its lifecycle, including storage, processing, integration, transmission, and recovery.
  • Evaluate data protection technologies, identify capability gaps, and recommend improvements.
  • Develop target-state security architectures, reference designs, and implementation roadmaps aligned with organizational requirements.
  • Support security automation initiatives that improve the consistency, scalability, and effectiveness of data protection controls.
  • Provide architectural guidance for enterprise technology implementations and ensure security requirements are incorporated throughout the solution lifecycle.
  • Collaborate with engineering and operations teams to translate security architecture principles into practical technical controls.
  • Partner with risk, compliance, legal, and privacy stakeholders to align data security architecture with regulatory and organizational requirements.
  • Communicate architectural decisions, security risks, and technology recommendations to technical teams and senior stakeholders.

Benefits

  • Opportunity to contribute to enterprise-wide data security modernization and architecture initiatives.
  • Work with modern data technologies, including Databricks, Oracle, SQL, and cloud-based analytics platforms.
  • Collaborate with multidisciplinary security and technology teams in a global financial services environment.
  • Contribute to strategic decisions involving security tooling, automation, and long-term data protection capabilities.
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