Enterprise Data Architect
Deloitte US · Multiple Locations
Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.
Work you'll do
Role Overview
We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture, business domain modeling, and information architecture across Deloitte's Global Data Platform. This role will establish and govern enterprise semantic standards, canonical data models, and domain architecture to enable consistent, trusted, and scalable data across the organization.
The successful candidate will partner with business stakeholders, Data Product Pods, and technology teams to align enterprise data strategy, governance, and architecture across key platforms and domains. Experience with SAP S/4HANA Finance and/or Salesforce ecosystems is highly desirable.
Key Responsibilities:
- Lead enterprise data architecture, domain modeling, and governance initiatives across strategic business domains.
- Define and maintain enterprise semantic standards, canonical data models, and information architecture standards.
- Establish business terminology, domain boundaries, entity definitions, and data relationships.
- Develop logical and business domain models supporting enterprise processes and data products.
- Define governance, metadata, lineage, stewardship, and data quality standards.
- Partner with business stakeholders, Data Product Pods, and architecture teams to ensure enterprise alignment.
- Resolve data inconsistencies across ERP, CRM, MDM, and analytics platforms.
- Maintain architecture documentation, business glossaries, and data dictionaries.
- Support the evolution of modern cloud data platforms and enterprise data management capabilities.
The team
Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.
Qualifications
Required Skills & Experience
- 8+ years of experience in data architecture, enterprise information architecture, logical data modeling, or domain-driven design.
- Experience defining enterprise canonical models, semantic standards, and data governance frameworks.
- Enterprise and cross-domain data modeling expertise.
- Experience with metadata management, business glossaries, data lineage, and data governance practices.
- Experience with Azure and/or AWS cloud platforms.
- Strong stakeholder management, facilitation, and influencing skills.
- Experience operating within large, complex, multi-domain organizations.
Preferred Domain Expertise
Experience in one or more of the following areas:
- SAP S/4HANA Finance (General Ledger, Planning & Forecasting, Financial Reporting, Enterprise Structures, and Master Data).
- Salesforce (Account, Opportunity, Customer 360, Customer Master Data, and Relationship Management).
- Enterprise data architecture spanning ERP, CRM, MDM, and analytics platforms.
Nice to Have
- Experience with Databricks or modern cloud data platforms.
- Experience in Data Architecture, Solution Architecture, Data Platform Architecture, Data Governance Architecture, or Senior Data Engineering roles.
- Knowledge of data product operating models and domain-oriented architecture principles.
Limited immigration sponsorship may be available.
Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.
Work you'll do
Role Overview
We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture, business domain modeling, and information architecture across Deloitte's Global Data Platform. This role will establish and govern enterprise semantic standards, canonical data models, and domain architecture to enable consistent, trusted, and scalable data across the organization.
The successful candidate will partner with business stakeholders, Data Product Pods, and technology teams to align enterprise data strategy, governance, and architecture across key platforms and domains. Experience with SAP S/4HANA Finance and/or Salesforce ecosystems is highly desirable.
Key Responsibilities:
- Lead enterprise data architecture, domain modeling, and governance initiatives across strategic business domains.
- Define and maintain enterprise semantic standards, canonical data models, and information architecture standards.
- Establish business terminology, domain boundaries, entity definitions, and data relationships.
- Develop logical and business domain models supporting enterprise processes and data products.
- Define governance, metadata, lineage, stewardship, and data quality standards.
- Partner with business stakeholders, Data Product Pods, and architecture teams to ensure enterprise alignment.
- Resolve data inconsistencies across ERP, CRM, MDM, and analytics platforms.
- Maintain architecture documentation, business glossaries, and data dictionaries.
- Support the evolution of modern cloud data platforms and enterprise data management capabilities.
The team
Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.
Qualifications
Required Skills & Experience
- 8+ years of experience in data architecture, enterprise information architecture, logical data modeling, or domain-driven design.
- Experience defining enterprise canonical models, semantic standards, and data governance frameworks.
- Enterprise and cross-domain data modeling expertise.
- Experience with metadata management, business glossaries, data lineage, and data governance practices.
- Experience with Azure and/or AWS cloud platforms.
- Strong stakeholder management, facilitation, and influencing skills.
- Experience operating within large, complex, multi-domain organizations.
Preferred Domain Expertise
Experience in one or more of the following areas:
- SAP S/4HANA Finance (General Ledger, Planning & Forecasting, Financial Reporting, Enterprise Structures, and Master Data).
- Salesforce (Account, Opportunity, Customer 360, Customer Master Data, and Relationship Management).
- Enterprise data architecture spanning ERP, CRM, MDM, and analytics platforms.
Nice to Have
- Experience with Databricks or modern cloud data platforms.
- Experience in Data Architecture, Solution Architecture, Data Platform Architecture, Data Governance Architecture, or Senior Data Engineering roles.
- Knowledge of data product operating models and domain-oriented architecture principles.
Limited immigration sponsorship may be available.
Deloitte Global is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization.
Work you'll do
Role Overview
We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture, business domain modeling, and information architecture across Deloitte's Global Data Platform. This role will establish and govern enterprise semantic standards, canonical data models, and domain architecture to enable consistent, trusted, and scalable data across the organization.
The successful candidate will partner with business stakeholders, Data Product Pods, and technology teams to align enterprise data strategy, governance, and architecture across key platforms and domains. Experience with SAP S/4HANA Finance and/or Salesforce ecosystems is highly desirable.
Key Responsibilities:
- Lead enterprise data architecture, domain modeling, and governance initiatives across strategic business domains.
- Define and maintain enterprise semantic standards, canonical data models, and information architecture standards.
- Establish business terminology, domain boundaries, entity definitions, and data relationships.
- Develop logical and business domain models supporting enterprise processes and data products.
- Define governance, metadata, lineage, stewardship, and data quality standards.
- Partner with business stakeholders, Data Product Pods, and architecture teams to ensure enterprise alignment.
- Resolve data inconsistencies across ERP, CRM, MDM, and analytics platforms.
- Maintain architecture documentation, business glossaries, and data dictionaries.
- Support the evolution of modern cloud data platforms and enterprise data management capabilities.
The team
Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.
Qualifications
Required Skills & Experience
- 8+ years of experience in data architecture, enterprise information architecture, logical data modeling, or domain-driven design.
- Experience defining enterprise canonical models, semantic standards, and data governance frameworks.
- Enterprise and cross-domain data modeling expertise.
- Experience with metadata management, business glossaries, data lineage, and data governance practices.
- Experience with Azure and/or AWS cloud platforms.
- Strong stakeholder management, facilitation, and influencing skills.
- Experience operating within large, complex, multi-domain organizations.
Preferred Domain Expertise
Experience in one or more of the following areas:
- SAP S/4HANA Finance (General Ledger, Planning & Forecasting, Financial Reporting, Enterprise Structures, and Master Data).
- Salesforce (Account, Opportunity, Customer 360, Customer Master Data, and Relationship Management).
- Enterprise data architecture spanning ERP, CRM, MDM, and analytics platforms.
Nice to Have
- Experience with Databricks or modern cloud data platforms.
- Experience in Data Architecture, Solution Architecture, Data Platform Architecture, Data Governance Architecture, or Senior Data Engineering roles.
- Knowledge of data product operating models and domain-oriented architecture principles.
Limited immigration sponsorship may be available.