Data Security & Access Engineer

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Job Description

OBJECTIVES/PURPOSE:

The Senior 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.

ACCOUNTABILITIES:

• Collaborate with partners to integrate data security platforms into our larger data fabric
• Collaborate with partners to develop, deploy, and maintain data access policies
• Drive automation and deployment of Data Access through DevSecOps practices
• Maintain availability and up-time of the data security platforms
• Work with architecture teams to drive improvements in the Data Security Platforms
• Provide incident response and support for the Data Security & Access Platforms
• Develop standards around data access patterns and controls implemented
• Collaborate with cross domain governance teams on data identification, classification and tagging strategy
• Coordinate global policy enforcement needed to comply with security guidelines and regulations

DIMENSIONS AND ASPECTS:

Data Security, Access, Classification, and Privacy Platforms

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

Essential Qualifications

BS in Computer Science or related field, or equivalent work experience

Minimum 5 years 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: 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

Experience implementing data security and access solutions in the healthcare and/or pharmaceutical industry

Experience with the Immuta Platform

Knowledge of DevSecOps practices

Experience with Identity and Access Management (IAM)

Exposure to data classification and data taxonomy (PII, PHI, etc)

Experience with Databricks Unity 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

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