Ranking: 41
As a Security & DataOps Architect, you will be responsible for defining and enforcing secure-by-design DataOps and DevSecOps practices. You will work closely with platform, data, and security teams to ensure that sensitive data is protected, pipelines are auditable and reliable, and governance controls are embedded into automation rather than applied manually.
Design secure data architectures for analytical platforms, data lakes, and data pipelines.
Define standards for data protection, including encryption, masking, tokenization, and access controls.
Ensure traceability, lineage, and quality controls across data and model lifecycle.
Lead the secure promotion of data objects and ML models across environments (DEV → TEST → PROD).
Architect and standardize secure CI/CD pipelines for data and analytics workloads.
Embed security, quality, and compliance controls into automated pipelines.
Ensure secure integration of orchestration, governance, and monitoring tools.
Define guardrails for automated deployments, approvals, and rollback mechanisms.
Integrate data governance and security tools into DataOps workflows.
Ensure compliance with internal policies and regulatory requirements for sensitive and regulated data.
Promote best practices for auditing, logging, and operational observability.
Act as a reference point for secure data practices across teams.
Lead the definition of enterprise-wide standards for DataOps and DevSecOps.
Provide architectural guidance and best practices to data engineers, DevOps teams, and platform owners.
Drive alignment between security, data, and engineering stakeholders.
5+ years of experience in DevOps, Cybersecurity, or Security Architecture roles.
Proven experience as a Security Architect, DataOps Architect, or DevSecOps Lead.
Strong background in data security and protection of sensitive data.
Experience designing and automating CI/CD pipelines for data platforms.
Solid understanding of data lifecycle management, data quality, and traceability.
Hands-on experience integrating security and governance tools into automated workflows.
Ranking: 41
As a Security & DataOps Architect, you will be responsible for defining and enforcing secure-by-design DataOps and DevSecOps practices. You will work closely with platform, data, and security teams to ensure that sensitive data is protected, pipelines are auditable and reliable, and governance controls are embedded into automation rather than applied manually.
Design secure data architectures for analytical platforms, data lakes, and data pipelines.
Define standards for data protection, including encryption, masking, tokenization, and access controls.
Ensure traceability, lineage, and quality controls across data and model lifecycle.
Lead the secure promotion of data objects and ML models across environments (DEV → TEST → PROD).
Architect and standardize secure CI/CD pipelines for data and analytics workloads.
Embed security, quality, and compliance controls into automated pipelines.
Ensure secure integration of orchestration, governance, and monitoring tools.
Define guardrails for automated deployments, approvals, and rollback mechanisms.
Integrate data governance and security tools into DataOps workflows.
Ensure compliance with internal policies and regulatory requirements for sensitive and regulated data.
Promote best practices for auditing, logging, and operational observability.
Act as a reference point for secure data practices across teams.
Lead the definition of enterprise-wide standards for DataOps and DevSecOps.
Provide architectural guidance and best practices to data engineers, DevOps teams, and platform owners.
Drive alignment between security, data, and engineering stakeholders.
5+ years of experience in DevOps, Cybersecurity, or Security Architecture roles.
Proven experience as a Security Architect, DataOps Architect, or DevSecOps Lead.
Strong background in data security and protection of sensitive data.
Experience designing and automating CI/CD pipelines for data platforms.
Solid understanding of data lifecycle management, data quality, and traceability.
Hands-on experience integrating security and governance tools into automated workflows.
