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[Remote] Data Security Engineer
Note: The job is a remote job and is open to candidates in USA. Southern New Hampshire University is hiring a Data Security Engineer to implement, operate, and improve security controls that protect institutional data across its enterprise data estate. The role focuses on data protection, encryption and key management, access controls, platform and pipeline security, automation, and technical support for data teams.
Responsibilities
- Implements and maintains data protection controls across the enterprise data estate, including classification and labeling enforcement, masking, tokenization, redaction, and de-identification, so that controls reflect institutional data sensitivity and regulatory requirements
- Configures and operates encryption controls for data at rest and in transit, including platform-native encryption, certificate management, customer-managed keys (CMK), and key rotation, and manages keys, secrets, and credentials using approved vaulting services and managed identities
- Implements least-privilege access models across data platforms, databases, workspaces, schemas, tables, pipelines, and service identities, and performs [quarterly] entitlement reviews to identify and remediate excessive or orphaned access
- Hardens security configurations for Microsoft Fabric, Databricks, Azure SQL, SQL Server, data lakes, and storage services, and assesses database permissions, schemas, stored procedures, queries, and audit settings for weaknesses that could expose or improperly alter institutional data
- Embeds security controls into data ingestion, transformation, orchestration, sharing, and export workflows, and secures the service identities, connectors, private endpoints, network paths, notebooks, jobs, and CI/CD processes that support them
- Protects non-production environments by provisioning synthetic data or controlled production-data extracts and enforcing approved masking and tokenization standards before data is copied out of production
- Automates control deployment, configuration assessment, evidence collection, and compliance validation using scripting, infrastructure-as-code (IaC), and platform APIs, and integrates data security telemetry with Security Operations to support investigation, containment, and corrective action for data-related security events
- Documents and communicates the work: creates and maintains implementation guides, configuration standards, control mappings, and runbooks; participates in threat modeling and secure design reviews; and provides hands-on technical support to teams designing, deploying, migrating, or troubleshooting data solutions
- Attendance, punctuality, and reliability are essential functions of this role
- Other duties and responsibilities as assigned. Job responsibilities can change at any time, with or without notice
- Design, implement, and maintain reusable data protection controls that enforce institutional security requirements across the enterprise data estate
- Translate data classification, sensitivity, and regulatory requirements into enforceable controls, including labeling, masking, tokenization, redaction, and de-identification
- Evaluate control coverage and effectiveness, identify gaps or configuration drift, and coordinate remediation with control and platform owners
- Operate encryption controls for data at rest and in transit, including platform-native encryption, certificate management, customer-managed keys, key rotation, and separation-of-duties requirements
- Implement secure key, secret, and credential management patterns using approved vaulting services, managed identities, and automated lifecycle controls
- Implement least-privilege access models across data platforms, databases, workspaces, schemas, tables, pipelines, and service identities using role-based and attribute-based access control (RBAC and ABAC) where supported
- Conduct periodic entitlement reviews, identify excessive or orphaned access, and automate access validation and remediation workflows
- Harden and maintain security configurations for Microsoft Fabric, Databricks, Azure SQL, SQL Server, data lakes, storage services, and supporting integration technologies
- Embed security controls into data ingestion, transformation, orchestration, sharing, and export workflows, including validation of source-to-target protection requirements
- Secure the infrastructure behind data integrations: service identities, connectors, private endpoints, and network paths
- Secure the workloads that run on that infrastructure: notebooks, jobs, and CI/CD pipelines
- Assess database permissions, schemas, stored procedures, queries, audit settings, and platform features for weaknesses that could expose or improperly alter institutional data
- Protect non-production environments through synthetic data, controlled production-data extracts, and enforcement of approved masking and tokenization standards
- Integrate data security telemetry with enterprise security operations and support investigation, containment, evidence collection, and corrective action for data-related security events
- Automate control deployment, configuration assessment, and compliance validation through scripting, infrastructure-as-code, platform APIs, and policy-as-code
- Track control health metrics, analyze recurring findings and exceptions, and propose improvements based on data sensitivity, exposure, threat context, and business impact
- Support audits, risk assessments, and regulatory or contractual reviews by producing technical evidence that demonstrates the effectiveness of implemented controls
- Provide hands-on technical support to teams designing, deploying, migrating, or troubleshooting data solutions
- Participate in threat modeling, secure design reviews, proof-of-concept evaluations, and technical risk assessments, identifying implementation risks and recommending practical control changes
- Create and maintain implementation guides, configuration standards, control mappings, runbooks, and operational procedures
- Participate in peer review and share practices that promote secure-by-design work across the enterprise data estate
Skills
- Bachelor's degree in information technology, computer science, information security or related discipline
- Equivalent of experience in lieu of degree acceptable: Yes
- 7+ years of experience in information security, cloud engineering, database engineering, data engineering, or a related field, including 2+ years focused on data protection or database security
- The data protection lifecycle, including classification, encryption, key and secrets management, access and entitlement controls, monitoring, retention, and secure disposal
- Security capabilities of cloud data and analytics platforms and relational database platforms, including Azure SQL and SQL Server
- Azure identity, networking, storage, governance, and key management services, including relevant networking protocols and secure data-access paths
- Regulatory, contractual, and policy requirements that apply to institutional data, such as [FERPA, GLBA Safeguards Rule, PCI DSS, and applicable state breach notification laws]
- Proficiency with SQL, including the ability to assess queries, permissions, schemas, and database security configurations
- Hands-on implementation of classification, labeling, masking, data loss prevention (DLP), secure integration, monitoring, auditing, and logging controls in enterprise data environments
- Scripting and automation using platform APIs, infrastructure-as-code, or similar tooling to deploy and validate security controls
- Clear written and verbal communication with both technical and non-technical audiences
Benefits
- 100% remote from any of the approved states
- As a full-time employee at SNHU: high-quality, low-deductible medical insurance
- As a full-time employee at SNHU: low to no-cost dental and vision plans
- As a full-time employee at SNHU: 5 weeks of paid time off plus almost a dozen paid holidays
- As a full-time employee at SNHU: employer-funded retirement
- As a full-time employee at SNHU: free tuition program
- As a full-time employee at SNHU: parental leave
- As a full-time employee at SNHU: mental health and wellbeing resources
Company Overview
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