Full Time Role - Information Security Architect - Remote

Overview

Remote
Depends on Experience
Full Time

Skills

API
Access Control
Artificial Intelligence
Auditing
Collaboration
Data Lake
Data Security
Databricks
Design Review
DevOps
Documentation
Encryption
Firewall
ISO/IEC 27001:2005
Identity Management
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Meta-data Management
Microsoft Azure
Network Design
RBAC
Regulatory Compliance
Risk Assessment
Risk Management
Security Architecture
Snow Flake Schema
Sprint
Stakeholder Engagement
Storage
Threat Modeling
Training
Unstructured Data
Version Control
Workflow
IAM
Identity Access Management

Job Details

Role: Information Security Architect

Location: Remote

Duration: FTE

Requirements:

  • Security Architecture & Design
      • Proficiency in Databricks, Azure (Data Lake, Synapse, Key Vault, Purview), AI/ML tools/solutions, and Snowflake.
      • Experience in developing security architecture and controls for custom applications on Azure.
      • Knowledge of best practices for API-based data ingestion and external data sharing.
      • Ability to define secure network architecture, including virtual networks, private endpoints, firewalls, and segmentation.
      • Expertise in identity and access management models (RBAC and ABAC) with Azure AD integration.
      • Skills in defining data encryption strategies for data in transit and at rest.
  • AI/ML Security Considerations
      • Governance implementation for AI training/inference data, including data anonymization and consent tracking.
      • Ability to identify and mitigate AI/ML-specific risks (e.g., data poisoning, model inversion, unauthorized access).
      • Securing ML Ops pipeline and model storage with version control and access restrictions.
  • Data Classification & Governance
      • Experience in implementing scanning, data classification schemes, and metadata tagging of structured and unstructured data.
      • Defining data handling and lifecycle policies.
      • Ensuring lineage, discoverability, and policy enforcement to meet compliance standards.
  • Secure Data Sharing
      • Defining internal and external data sharing policies with access controls and audit logging.
      • Supporting secure implementations of Snowflake Secure Data Sharing, Databricks delta sharing, Azure Data Share, and private APIs.
      • Advising on contractual and technical measures for data protection in third-party exchanges.
  • Risk Management & Compliance:
      • Conducting security risk assessments and threat modeling of platform components and workloads.
      • Ensuring alignment with security standards (e.g., NIST CSF, CIS, ISO 27001).
      • Preparing documentation and evidence for audit and regulatory compliance.
  • Security Tooling & Automation:
      • Recommending security tooling across the stack (e.g., Azure Defender, Sentinel, Databricks audit logs).
      • Designing automation for policy enforcement, monitoring, alerting, and remediation workflows.
  • Collaboration and Stakeholder Engagement:
      • Engaging with cross-functional teams including platform engineers, data scientists, DevOps, and business stakeholders.
      • Participating in design reviews, sprint planning, and security workshops.
      • Translating business and regulatory requirements into actionable technical controls.
      • Providing guidance and communicating risks and trade-offs in plain language.

Best Regards,

Vaibhav Karhiwale

Sr. Technical Recruiter | Empower Professionals

| Phone: x 348

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