Senior Data Security & Access Engineer
IND - Bengaluru
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
What you’ll work on
Full postingAnalyze security, operations, and effectiveness of enterprise data security and access platforms
Discover and fix security and availability issues in data security platforms
Build automation for data security and access operations
Respond quickly to new business scenarios affecting data access
From the employer’s posting
analyzing the security, operations, and effectiveness of our Enterprise Data Security & Access platforms and services
discovering and addressing security and availability issues
building automation
quickly reacting to new business scenarios
What you’ll bring
All qualificationsCore experience
- BS in Computer Science or related field, or equivalent work experience
- At least 5 years in a deep technical role
- Proficiency in Python for integrations and automation
- Role-based and attribute-based access control implementation (RBAC, ABAC)
- Knowledge of data privacy laws such as GDPR and HIPAA
Preferred experience
- Experience with Informatica IDMC is a plus
- Experience with Kubernetes, AWS EKS is a plus
Qualification wording
BS in Computer Science or related field, or equivalent work experience
Minimum 5 year of experience in a deep technical role
Proficiency in languages such as Python for integrations, automations
Proficiency in implementing role-based access control (RBAC) and attribute based access control (ABAC)
Understanding of data privacy laws and regulations, such as GDPR and HIPAA
Experience with Informatica IDMC is a plus
Experience with Kubernetes, AWS EKS is a plus
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Kubernetes
- NoSQL
- Terraform
Source — Tool mentions in context
Minimum 5 year of experience in a deep technical role using the following essential qualifications. Programming Skills: Proficiency in languages such as Python for integrations, automations, building and maintaining data pipelines, etc Database Management: Strong knowledge of SQL and NoSQL databases for managing and querying data.
Programming Skills: Proficiency in languages such as Python for integrations, automations, building and maintaining data pipelines, etc Database Management: Strong knowledge of SQL and NoSQL databases for managing and querying data. Big Data Technologies: Familiarity with distributed systems like Databricks as well as cloud platforms especially AWS
Database Management: Strong knowledge of SQL and NoSQL databases for managing and querying data. Big Data Technologies: Familiarity with distributed systems like Databricks as well as cloud platforms especially AWS Data Modeling and Architecture: Ability to design data schemas and understand data warehousing, ETL processes, real-time streaming, etc
Knowledge of DevSecOps practices Experience with Identity and Access Management (IAM) (AWS + Azure) Experience with EntraID, Sailpoint and Okta
Experience with tokenization and data clean rooms is a big plus Experience with Kubernetes, AWS EKS is a plus Experience with Terraform
Experience with Microsoft Entra Suite (Entra AI Agent ID, 365 Purview, Entra Platform, Identity Center, Sentinal, Governance & Compliance) is a big plus Experience with Databricks Unity Catalog or Informatica Catalog Experience with Informatica IDMC is a plus
Experience with Kubernetes, AWS EKS is a plus Experience with Terraform System Administration skills
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 5
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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Job Description
OBJECTIVES/PURPOSE:
The Data Security & Access Engineer is responsible for providing critical support to the Data Security, Access, and Privacy ecosystem. They will be responsible for driving innovation and operability in an organizations Data Security Platform. The data security engineer will be responsible for analyzing the security, operations, and effectiveness of our Enterprise Data Security & Access platforms and services, discovering and addressing security and availability issues, building automation, and quickly reacting to new business scenarios. This role will have the opportunity to learn from, and be mentored by, those who are building and securing our Enterprise data security, access, and privacy platform.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
- Essential Qualifications
BS in Computer Science or related field, or equivalent work experience
Minimum 5 year of experience in a deep technical role using the following essential qualifications.
Programming Skills: Proficiency in languages such as Python for integrations, automations, building and maintaining data pipelines, etc
Database Management: Strong knowledge of SQL and NoSQL databases for managing and querying data.
Big Data Technologies: Familiarity with distributed systems like Databricks as well as cloud platforms especially AWS
Data Modeling and Architecture: Ability to design data schemas and understand data warehousing, ETL processes, real-time streaming, etc
Analytical and Problem-Solving Skills: Capability to perform root cause analysis, etc
Machine Learning and GenAI/Agentic AI: Understanding the principles in these areas
Data Security: Knowledge of data security practice, including encryption, anonymization, Data Security Posture Management to protect sensitive information
Data Governance and Compliance: Understanding of data privacy laws and regulations, such as GDPR and HIPAA, and how to implement policies to ensure compliance.
Access Control Mechanisms: Proficiency in implementing role-based access control (RBAC) and attribute based access control (ABAC) to manage data access permissions
Data Discovery and Classification: Ability to use tools for automated data discovery and classification to identify and categorize sensitive data.
Policy Management: Skills in creating and managing data access policies that can be dynamically enforced across different environments.
Monitoring and Auditing: Capability to monitor data access and usage, and perform audits to ensure compliance with data governance policies.
Collaboration and Communication: Strong communication skills to work with data stewards, compliance officers, and other stakeholders to ensure data governance objectives are met.
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
- Desirable Qualifications
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 big plus
Experience with Microsoft Entra Suite (Entra AI Agent ID, 365 Purview, Entra Platform, Identity Center, Sentinal, 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
Possess self-drive to keep moving things forward even in the face of ambiguity and imperfect knowledge
Strong sense of ownership, urgency, and drive
Locations
IND - BengaluruWorker Type
EmployeeWorker Sub-Type
RegularTime Type
Full timeSource details
Source notes
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- Pay
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- Location & working pattern
IND - Bengaluru
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