Enterprise Data Architect

Job Title:

Enterprise Data Architect

Job Description:

The Enterprise Data Architect will lead the evolution of enterprise data architecture with our client company. This role is accountable for strengthening enterprise data foundations through domain-aligned modeling, semantic consistency, master data cohesion, and long-term architectural flexibility.

The Enterprise Data

Architect provides architectural leadership in executing the company’s long-term data and analytics strategy by designing enterprise data structures that enable reliable analytics, cross-domain interoperability, and Customer 360 enablement.

Working in close partnership with Data Engineering, Analytics, IT, and business teams, this role establishes architectural standards, applies pragmatic design principles, and modernizes the company’s enterprise data capabilities while ensuring alignment with governance, security, and regulatory requirements.

Key Responsibilities:

• Provide architectural direction and oversight for enterprise data initiatives, ensuring consistent enterprise entity modeling and domain alignment across analytics use cases.
• Lead the rationalization and modernization of enterprise data structures to improve semantic consistency, reduce duplication, and strengthen cross-domain interoperability.
• Define and govern enterprise data architecture frameworks, including standards, principles, patterns, and reference models.
• Own enterprise data modeling standards (conceptual, logical, dimensional, and physical) to ensure enterprise entity consistency, semantic clarity, master data alignment, and long-term sustainability.
• Define and formalize enterprise semantic modeling standards to ensure consistent representation of core business entities and their relationships (e.g., Customer–Account–Channel–Interaction).
• Architect the structural foundation required to enable a unified Customer 360 view, including consistent modeling of transactions, interactions, lifecycle states, and cross-channel relationships.
• Develop phased architectural roadmaps that strengthen domain alignment and support the evolution from reporting-centric models to reusable enterprise data foundations.
• Produce and maintain architecture artifacts that support business objectives, financial outcomes, data security, privacy, and regulatory requirements.
• Partner with enterprise architecture, solution architecture, and IT teams to maintain alignment within the broader enterprise architecture framework.
• Coordinate with Information Security, Privacy, and Regulatory Compliance teams to ensure architectural alignment with governance and risk requirements.
• Evaluate emerging data architecture patterns and apply them pragmatically based on organizational maturity and business value.
• Act as the architectural partner to data and analytics product owners, providing design guidance for enterprise data solutions.
• Lead periodic data architecture capability assessments and provide recommendations to advance the company’s architecture maturity.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, Engineering, Statistics, Mathematics, or a related field.
• 8+ years of experience working in enterprise-scale data environments, including relational and analytical platforms.
• 5+ years of experience designing and governing enterprise data architectures in support of analytics and decision-support use cases.
• Demonstrated expertise in enterprise data modeling (conceptual, logical, dimensional, and physical models).
• Experience standardizing core enterprise entities (e.g., Customer, Account, Product, Channel) across multiple data domains.
• Experience improving conformance and reducing structural duplication across enterprise data environments.
• Experience designing enterprise data structures that support cross-domain analytics and reusable data assets.
• Experience working within cloud-based or hybrid data platforms with attention to scalability, performance, governance, and cost considerations.
• Strong fluency in SQL for data model validation and architectural review.\
• Solid understanding of modern data architecture patterns, including data warehouses, lakehouses, and domain-oriented approaches.
• Experience supporting master or reference data management initiatives within enterprise environments.
• Familiarity with data security, privacy, and governance principles within regulated environments.
• Working knowledge of advanced analytics concepts and the ability to translate analytic requirements into sound data modeling decisions.
• Complies with all company policies and procedures including those related to Bank Secrecy Act regulations.

Preferred Qualifications:

• Master’s degree in a related technical or quantitative field.
• 10+ years of experience leading or influencing enterprise-scale data architecture initiatives in complex environments.
• 8+ years of experience in Banking, Financial Services, or other highly regulated industries.
• Experience applying enterprise semantic and domain-based modeling practices to support cross-domain analytics and Customer 360 enablement.
• Experience establishing enterprise semantic modeling standards or canonical entity frameworks.
• Experience supporting master data alignment or Customer 360 initiatives.
• Professional certifications related to cloud architecture, data architecture, or enterprise architecture

About Us:

SourceAbility provides best-in-class recruitment services primarily in the areas of IT, Data & Analytics. We strive to work with client companies that provide exceptional work environments for the candidates we represent. Our staff is highly trained in multiple verticals and works to ensure a positive experience when working with a recruitment firm.

SourceAbility, Inc. does not discriminate in the acceptance or referral of candidates on the basis of race, color, religion, sex, age, national origin, marital status, disability, or other protected characteristics.

Contact

Please contact Tanya Calkins at SourceAbility. 704-837-8202; tanya@sourceabilityinc.com