Sr. Data Security & Access Engineer

Overview

The Data Security & Access Engineer supports the Data Security, Access, and Privacy ecosystem, driving innovation and operability in an organization's Data Security Platform.

What you'll do

• Analyze the security, operations, and effectiveness of Enterprise Data Security & Access platforms and services.
• Discover and address security and availability issues.
• Build automation and react quickly to new business scenarios.
• Learn from and be mentored by those building and securing the Enterprise data security, access, and privacy platform.

What you'll need

• BS in Computer Science or related field, or equivalent work experience.
• Minimum 5 years of experience in a deep technical role.
• Proficiency in programming languages such as Python for integrations, automations, and building and maintaining data pipelines.
• Strong knowledge of SQL and NoSQL databases for managing and querying data.
• Familiarity with distributed systems such as Databricks, and cloud platforms especially AWS.
• Ability to design data schemas and understand data warehousing, ETL processes, and real-time streaming.
• Capability to perform root cause analysis.
• Understanding of the principles of Machine Learning and GenAI/Agentic AI.
• Knowledge of data security practices, including encryption, anonymization, and Data Security Posture Management to protect sensitive information.
• Understanding of data privacy laws and regulations, such as GDPR and HIPAA, and how to implement policies to ensure compliance.
• Proficiency in implementing role-based access control (RBAC) and attribute-based access control (ABAC) to manage data access permissions.
• Ability to use tools for automated data discovery and classification to identify and categorize sensitive data.
• Skills in creating and managing data access policies that can be dynamically enforced across different environments.
• Capability to monitor data access and usage, and perform audits to ensure compliance with data governance policies.
• Strong communication skills to work with data stewards, compliance officers, and other stakeholders.
• Microsoft SharePoint, OneDrive, and other Microsoft data estate classification and tagging.
• An understanding of the Agile SDLC methodology.
• Excellent written and verbal communication skills in English.

Nice to have

• Knowledge of DevSecOps practices.
• Experience with Identity and Access Management (IAM) (AWS + Azure).
• Experience with EntraID, Sailpoint, and Okta.
• Experience with the Pharma Industry Platform Qualification Process.
• Experience with ServiceNow Service Catalog Authoring.
• Exposure to data classification and data taxonomy (PII, PHI, etc.).
• Experience with Immuta, Privacera, Cyral, or any hyperscale technology is a big plus.
• Experience with Microsoft Entra Suite (Entra AI Agent ID, 365 Purview, Entra Platform, Identity Center, Sentinel, Governance & Compliance) is a big plus.
• Experience with Databricks Unity Catalog or Informatica Catalog.
• Experience with Informatica IDMC is a plus.
• Experience with tokenization and data clean rooms is a big plus.
• Experience with Kubernetes, AWS EKS is a plus.
• Experience with Terraform.
• System Administration skills.
• Demonstrable teamwork skills and resourcefulness.
• Self-drive to keep moving things forward even in the face of ambiguity and imperfect knowledge.
• Strong sense of ownership, urgency, and drive.

Details

• Location: IND - Bengaluru.
• Worker type: Employee; sub-type: Regular.
• Time type: Full time.