Data Architect – Global Information Security

Bank of America

. Set data architecture direction for strategic cybersecurity initiatives within Global Information Security .

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $120,000 - $136,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture design and implementation, focusing on data governance, security, and privacy. Proficient in developing scalable data models and integration patterns while providing technical leadership and mentorship within cybersecurity initiatives.

Highest-signal resume keywords

Data Architecture DesignData Governance PrinciplesSQL and Python ProficiencyData Modeling ExpertiseAgile Methodologies Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Management PrinciplesRelational and Dimensional Data ModelingData Integration PatternsETL/ELT ProvisioningData Quality MeasurementMetadata ManagementData Security ConceptsData Privacy ConceptsAPI-Based ProvisioningEvent-Driven Data Provisioning

Soft Skills

Technical LeadershipStakeholder EducationPresentation SkillsMentorship

Tools & Technologies

SAP PowerDesignerErwin Data ModelerVisioPowerPointExcelAgile SDLC Tooling

Industry Keywords

Cybersecurity InitiativesData Telemetry StandardizationData ContractsData LineageCompliance ReportingThreat DetectionIdentity AnalyticsData Sharing AgreementsServiceNow CMDBGenAI-Enabled Threat Hunting

Tech Stack

Tools & technologies

Cyber SecurityETLNoSQLPythonSDLCServiceNowSQL

About the role

Key responsibilities & impact

Set data architecture direction for strategic cybersecurity initiatives within Global Information Security
Shape trusted, governed, and reusable security data assets for threat detection, exposure management, identity analytics, and compliance reporting
Design and govern conceptual, logical, and physical data models for secure, scalable analytics, reporting, logging, and monitoring
Establish and maintain data contracts, mappings, metadata, lineage, and documentation for trusted, reusable data products
Advance data virtualization and pipeline strategies across federated and centralized platforms
Drive security telemetry standardization using frameworks such as OCSF
Define real-time, batch, event-driven, and API-based integration patterns across cybersecurity platforms
Partner with governance, privacy, and data quality teams on standards, controls, lineage, and reconciliation
Lead architecture reviews to apply enterprise data principles and reduce risk
Provide technical leadership, mentorship, stakeholder education, and support for team capability and standards maturity
Work on initiatives including USEM, ServiceNow CMDB/vulnerability and asset migrations, GenAI-enabled threat hunting, IAM Common Information Model, logging and monitoring standardization, and compliance-finding pipelines

Requirements

What you’ll need

5+ years designing and implementing complex data architecture, including hands-on delivery as a Data Architect or closely related senior role
Strong command of data management principles, relational and dimensional data modeling, and data integration patterns
Experience authoring conceptual, logical, semantic, and physical models, metadata, and source-to-target mappings for multi-source environments
In-depth understanding of data governance, data security, and data privacy concepts, including critical data elements, lineage, data dictionaries, data sharing agreements, SLAs, and data management standards
Hands-on experience with SAP PowerDesigner, Erwin Data Modeler, and modern data platforms
Strong SQL and Python skills with experience across relational and NoSQL systems and big data environments
Understanding of real-time, batch, and event-based data provisioning, ETL/ELT, and API-based provisioning patterns
Experience with data quality measurement, scorecards, controls, remediation, and reconciliation techniques
Ability to independently architect solutions, lead design and code reviews, and ensure quality throughout delivery
Ability to translate complex data concepts for technical and executive audiences using Visio, PowerPoint, and Excel; comfortable presenting to large groups
Experience working on Agile teams and with Agile SDLC tooling
Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support for employee impact and professional contribution
In-office flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and build a career