Data Security Engineer
南新罕布什尔大学是一个创新者团队。世界变革者。相信有目的的进步的人员。自1932年以来,我们的以人为中心的战略定义了我们并帮助我们发展了一个团队,现在在全球服务于超过180,000名学习者的生活。我们的使命是通过带来不同行业经验,背景和技能的人才实现的生活。今天,我们准备扩大我们的范围。我们需要你。**从近处或远处产生影响** 在 SNHU,你将有选择在以下状态下远程工作:阿拉巴马州,亚利桑那州,阿肯色州,德拉华州,佛罗里达州,格鲁吉亚州,夏威夷州,爱达荷州,印第安纳州,爱荷华州,堪萨斯州,肯塔基州,路易斯安那州,缅因州,马赛诸塞州,密歇根州,密西比州,密苏里州,内布拉斯基州,新罕布什尔郡,新墨西哥州,北大道科特州,俄俄州,南卡罗来纳州,北达科特州 (North Dakota),奥哈莱诺州,南大道科泰州,田纳西州,维尔蒙特州,弗吉尼亚州,西部弗吉尼亚省,威斯康星州和怀俄明州。我们要求我们的远程员工能够访问可靠的互联网连接以及一个专用,适当装备的工作空间,不受干扰。员工必须居住在上述批准的国家之一并从那里工作。**机会** 数据安全工程师实施,运营和帮助改善企业数据库中保护机构数据的安全控制,包括微软织物和数据等分析平台,Azure SQL 和 SQL Server 等关系数据库平台以及它们之间的管道和集成。这是数据保护领域的一项实践性工程角色:加密和关键管理,对数据的访问和权利控制,数据分类和标签执行,掩盖和解除识别,数据库安全配置和安全数据管道工程。你将与其他安全工程师,安全运营,数据和分析,数据治理,数据工程和其他 IT 团队一起工作,并为构建或运行数据解决方案的团队提供技术支持和指导。你将向副 CISO 报告。你将从我们任何批准的国家100%远程工作。**你会做什么:** - 实施并维护整个企业数据库中的数据保护控制,包括分类和标签执行,掩盖,代币化,编辑和脱识别,以便控制反映机构数据敏感性和监管要求。- 配置。
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Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
**Make an impact — from near or far**
At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
**The opportunity**
The Data Security Engineer implements, operates, and helps improve the security controls that protect institutional data across the enterprise data estate, including analytics platforms such as Microsoft Fabric and Databricks, relational database platforms such as Azure SQL and SQL Server, and the pipelines and integrations that move data between them.
This is a hands-on engineering role in the data protection domain: encryption and key management, access and entitlement controls for data, data classification and labeling enforcement, masking and de-identification, database security configuration, and secure data pipeline engineering. You will work alongside other security engineers, Security Operations, Data & Analytics, Data Governance, Data Engineering, and other IT teams, and provides technical support and guidance to teams building or operating data solutions. You will report to the Deputy CISO.
You will work 100% remotely from any of our approved states.
**What you'll do:**
- 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.
**Detailed responsibilities by domain**
The eight primary duties above consolidate the following detailed scope.
**Data security controls**
- 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.
**Encryption and key management**
- 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.
**Identity and access 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.
**Platform, database, and pipeline security**
- 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.
**Security operations, automation, and compliance**
- 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.
**Consulting, documentation, and collaboration**
- 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.
**What we're looking for:**
- Academic Degree(s) and/ areas of study: Bachelor's degree in information technology, computer science, information security or related discipline.
Equivalent of experience in lieu of degree acceptable: Yes
- Years of experience: 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.
- Professional Certification(s): none required.
- Specialized knowledge:
- 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].
- **Skills:**
- 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.
#LI-Remote
We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
If you have a disability and require a reasonable accommodation to fully engage in any part of the application or hiring process, please complete the [Accommodation Request form](https://snhu.qualtrics.com/jfe/form/SV_9zsoS3ASsJTet38) or contact us at 603-626-9447. A member from the Employee Accommodation Support Center will be in contact with you within two business days to discuss your request.
**Compensation**
The annual pay range for this position is $96,954.00 - $155,153.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $107,132.00 - $144,945.00.
**Exceptional benefits (because you’re exceptional)**
You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get:
- High-quality, low-deductible medical insurance
- Low to no-cost dental and vision plans
- 5 weeks of paid time off (plus almost a dozen paid holidays)
- Employer-funded retirement
- Free tuition program
- Parental leave
- Mental health and wellbeing resources