Data Architect - Global Information Security

Koitecc Solutions; Denver (CO); Hybrid; USD 120,000 - 136,000; Full time

Job summary

Bank of America is seeking an experienced Data Architect to lead the design and governance of large-scale data models for secure, scalable analytics. You will drive data contracts, lineage, and documentation while advancing virtualization across federated and centralized platforms.

You will collaborate with governance, privacy, and data quality teams to ensure compliance and data quality, and mentor teams across the delivery lifecycle. 1st shift in the United States with 40 hours per week.

Qualifications

• 5+ years designing and implementing complex data architecture.
• Experience authoring conceptual, logical, semantic, and physical models, metadata, and source-to-target mappings.
• Data governance, data security, and data privacy concepts including lineage and data dictionaries.
• Hands-on with data modeling tools and modern data platforms; strong SQL and Python skills.
• Experience with relational and NoSQL data stores; real-time and batch provisioning; ETL/ELT patterns.

Responsibilities

• Data architecture strategy, aligning with business objectives and CIM standards.
• Design and govern conceptual, logical, and physical data models for analytics, reporting, logging, and monitoring.
• Establish and maintain data contracts, mappings, metadata, lineage, and documentation.
• Advance data virtualization and pipeline strategies across federated and centralized platforms.
• Drive security telemetry standardization through frameworks such as OCSF.
• Define real-time, batch, event-driven, and API-based data integration patterns across cybersecurity platforms.
• Partner with governance, privacy, and data quality teams to ensure compliance and data quality.
• Lead architecture reviews to embed enterprise data principles and reduce risk.
• Provide technical leadership, mentorship, and stakeholder education to strengthen data management practices.

Skills

Data architecture

Data modeling

SQL

Python

NoSQL

ETL/ELT

Agile SDLC

Communication skills

Education

Bachelor's or Master's in Computer Science / Information Technology / related field

Tools

PowerDesigner

Erwin Data Modeler

Trino/Starburst

Databricks

dbt

Visio

Job description

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Responsibilities

• Data architecture strategy, ensuring alignment with business objectives, enterprise data policies, and Common Information Model (CIM) standards.
• Design and govern conceptual, logical, and physical data models that enable secure, scalable analytics, reporting, logging, and monitoring.
• Establish and maintain data contracts, mappings, metadata, lineage, and documentation to deliver trusted, reusable data products.
• Advance data virtualization and pipeline strategies, leveraging federated and centralized platforms to improve access to security data.
• Drive security telemetry standardization through frameworks such as OCSF, enabling data consistency, interoperability, and AI-driven threat detection.
• Define real-time, batch, event-driven, and API-based integration patterns across cybersecurity platforms.
• Partner with governance, privacy, and data quality teams to ensure compliance with data standards, controls, lineage, and reconciliation requirements.
• Lead architecture reviews to embed enterprise data principles, reduce risk, and prevent costly rework.
• Provide technical leadership, mentorship, and stakeholder education to strengthen data management practices, documentation standards, and organizational capability.

Required Qualifications

• 5+ years designing and implementing complex data architecture, including hands-on delivery as a Data Architect or in a closely related senior role.
• Strong command of data management principles, data modeling techniques (relational and dimensional), and data integration patterns.
• Proven 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 data modeling tools (e.g., SAP PowerDesigner, Erwin Data Modeler) and modern data platforms.
• Strong SQL and Python skills, with hands-on experience across relational and NoSQL systems and big data environments.
• Thorough understanding of real-time, batch, and event-based data provisioning, plus 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 the delivery lifecycle.
• Effective communication is required to be able to translate complex data concepts for both technical and executive audiences using tools such as Visio, PowerPoint, and Excel; comfortable presenting to large groups.
• Experience working on Agile teams and with Agile SDLC tooling.

Desired Qualifications

• Cybersecurity data expertise - Open Cybersecurity Schema Framework (OCSF), Common Information Models (CIM), security telemetry, logging and monitoring standardization.
• Identity & Access Management data - familiarity with sources such as Azure AD/Entra, Ping Identity, CyberArk, and cloud IAM in AWS and Azure.
• Data virtualization and hybrid mesh + fabric fluency - Trino/Starburst; lakehouse foundations and open table formats; Databricks; dbt.
• ServiceNow as a system of origin for CMDB, vulnerability, and asset data (e.g., Qualys, Tanium migrations).
• Event streaming and change data capture (CDC); JSON Schema validation for event payloads.
• Data contracts and domain data products; end-to-end lineage standards; data/AI observability.
• AI-enablement data design - vector search and RAG data design, LLMOps integration, and AI governance standards.
• Zero Trust data architecture and operational data governance and privacy.
• Cloud platform experience across AWS, Azure, and Google Cloud Platform (GCP).
• Advanced modeling approaches - dimensional, Data Vault, anchor, and semantic modeling; metadata, lineage, and data catalogs.
• Knowledge of audit and regulatory concerns relevant to financial services.
• Industry certifications such as Certified Data Management Professional (CDMP) or TOGAF.

Bachelor's or master's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Shift

1st shift (United States of America)

Hours Per Week

40

Pay Transparency details

US - CO - Denver - 1144 15th St - Denver Gis (CO9926), US - DC - Washington - 1800 K St NW - 1800 K Street NW (DC1842), US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)

Pay and benefits information

Pay range

$120,000.00 - $136,100.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.