As a Data Security Engineer at Life Time, you will protect the information our members, vendors, and employees trust us with, from member records across our clubs to payment and health data. You are the Security team’s subject matter expert for data protection.
Compensation
This is a salaried position starting at $94,000.00(or applicable minimum salary, if higher) and pays up to $129,000.00, based on experience and qualifications.
Responsibilities
Partner with technology, data, and analytics teams to build data protection and privacy by design into new systems, data pipelines, and products
Operate and tune our DSPM platform to discover and classify sensitive data (PII, payment card data, health information, and confidential business data) across cloud, SaaS, and on-premises environments
Drive remediation of overexposed, misclassified, and abandoned data with data owners, including data exposed to AI tools and assistants
Help select, deploy, and tune data loss prevention (DLP) controls across endpoint, email, web, and SaaS channels, using data classification results to drive policy
Partner with infrastructure and the Security Architect to review and improve encryption, tokenization, masking, and key management for data at rest and in transit
Requirements
Bachelor’s Degree in Computer Science, Information Security, or related field or equivalent combination of education and experience
Support the development, implementation, and continuous improvement of OCS's data governance program by establishing and maintaining governance processes, standards, and controls.
Compensation
The target hiring range for this position is $85,000- $100,000. This is a pay grade 6 role, with a salary range of $71,777.30 - $107,379.81.
Responsibilities
Support the continuous improvement and maturity of OCS's enterprise data governance framework, including governance policies, standards, procedures, and controls.
Partner with data owners and stewards to establish governance practices that ensure data accuracy, quality, security, integrity, and reliability.
Support data classification, records management, metadata management, and role-based access controls aligned with least privilege principles.
Define data quality, availability, integrity, and security requirements, and support the implementation of controls and governance KPIs.
Maintain operational ownership of data governance processes, artifacts, workflows, and enterprise data assets.
Requirements
Post-secondary degree in Information Management, Data Governance, Information Technology, Computer Science, Business Technology, or a related field, or an equivalent combination of education and experience.
Nice to have: Certified Data Management Professional (CDMP)
Nice to have: Information Governance/Records Management certifications
Provide Systems Engineering and Technical Assistance support for enterprise data architecture, management, and integration within the Ground Enterprise Directorate.
Compensation
Min: $94,910.76
Max: $165,031.40
Responsibilities
Provide technical analysis and engineering advisory support to help the Government organize, integrate, and effectively leverage complex mission data across enterprise systems.
Evaluate data models, schemas, metadata, ontologies, and data catalogs to ensure technical approaches support interoperability, accessibility, consistency, and mission requirements.
Assess data models, schemas, structures, and relationships for consistency, interoperability, and alignment with enterprise requirements.
Evaluate metadata management approaches, data catalogs, dictionaries, and common data definitions to improve enterprise data discovery and accessibility.
Assess ontologies, taxonomies, semantic relationships, and data standards to support consistent interpretation and integration of mission data.
Lead Enterprise Data Cybersecurity Engineer responsible for designing, implementing, and maintaining data protection solutions across cloud and on-premises platforms.
Compensation
The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD).
Responsibilities
Design and implement data security solutions
Configure and enforce data protection controls
Monitor compliance and perform risk assessments
Lead cross-functional IT and security teams
Coordinate incident response and threat mitigation
Requirements
Bachelor's degree
Nice to have: Python
Nice to have: SQL
Nice to have: AI anomaly detection
Nice to have: cloud security certifications (CISSP, CCSP, CDPSE)
Help protect the data that powers our organization by building, strengthening, and advancing the enterprise data protection program, serving as a key SME for DLP, DSPM, data classification, encryption, and data retention.
Compensation
The annual salary range for this role is $ 89,929 to $ 143,891.
Responsibilities
Lead and enhance our DLP program, including policy administration, tuning, incident workflows, policy refinement, and stakeholder coordination.
Implement and manage DSPM capabilities to discover, classify, and monitor sensitive data across SaaS, PaaS, and IaaS environments.
Own and govern our enterprise data classification framework, supporting consistent adoption and implementation across departments.
Partner with Infrastructure and Enterprise Systems teams to support the enforcement of encryption, tokenization, and key management policies.
Collaborate with Legal and Governance, Risk & Compliance (GRC) to ensure data retention policies align with regulatory and contractual requirements.
Develop, test, and maintain software components and applications for Audible’s audiobook platform, collaborating with stakeholders to design, develop, test, and launch customer‑centric software.
Compensation
USA, MA, Cambridge - 110,500.00 - 160,000.00 USD annually
Responsibilities
Develop, test, and maintain software components and applications
Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods
Write maintainable and scalable code as part of an agile engineering team
Collaborate with stakeholders to envision, design, develop, test, and launch customer‑centric software
Apply computer science, engineering, and analysis principles to solve moderate‑scale problems
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: Bachelor's degree in computer science or equivalent
Assist in designing, deploying, and managing cyber data protection solutions to secure Deloitte US Member Firm data and client data.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $84,300 to $173,300.
Responsibilities
Assist with the development, deployment, and support of cyber data protection solutions.
Assist with the implementation of data security controls and design principles.
Provide Tier 2 technical support to Deloitte end users for cyber data protection services.
Assist in maturing existing data protection solutions protecting against data exfiltration.
Assist in rolling out new data protection services for employees.
Requirements
Bachelor’s degree or equivalent in Information Technology, Computer Science, or Engineering
Lead design, delivery, and governance of Microsoft Fabric and related AI solutions for enterprise clients, managing cross‑project technical oversight and client relationships.
Compensation
Pay range: $128,000 - $193,200 depending on experience and skill set
Annual bonus target of 10% subject to terms and conditions of plan
Responsibilities
Design and deliver Microsoft Fabric architectures incorporating OneLake, Power BI, and AI services
Lead development of AI‑enabled solution patterns and prototypes
Build and validate proofs of concept and reference architectures
Direct project teams and client engagements
Create business cases and financial justifications
The Data Architect will define the reference architecture, engineering patterns, and governance posture for an entire data program, while building data products alongside the team.
Locations (2)
Oakville, Ontario, Canada
Atlanta, Georgia, United States
Compensation
$165,000 - $210,000 CAD
Responsibilities
Define a managed AWS reference architecture that delivers reliability without requiring a large team to operate it
Specify the layered data model — raw to cleansed to curated to a fully safe analytical layer that holds no sensitive data
Establish governance across every layer: data classification, constituent PII handling, access control, lineage, and residency
Create reusable engineering patterns for capture, land-and-store, transform-and-serve, and govern
Design loose coupling from operational systems using change-data-capture or scheduled extracts
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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