Enterprise Data Architect Jobs
Enterprise Data Architect jobs are open across financial services, healthcare, retail, and technology, at every level from mid-level to principal and chief architect, with specializations in cloud data platforms, data governance, and enterprise data modeling. Find a role that fits from the openings below and apply directly.
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JOB SUMMARY
The SAP Enterprise Data Architect role provides expertise in SAP S/4HANA data architecture, enterprise data modeling, migration strategy, and data governance. This is a key role in designing scalable data structures across source, staging, and target environments; defining migration and validation frameworks; and enabling high-quality, business-ready data to support operational processes, reporting, and analytics. This position requires strong partnering with business, functional, and technical stakeholders to align data design with transformation objectives, compliance requirements, and long-term governance standards.
JOB RESPONSIBILITIES
- Lead the design and governance of the enterprise data model for SAP S/4HANA, ensuring alignment across legacy sources, staging layers, and target business objects.
- Define end-to-end data architecture, including data lineage, harmonization rules, established structures, and simplified staging models to support efficient migration and downstream consumption.
- Establish data standards, governance policies, ownership models, validation rules, and reconciliation criteria to improve data quality, integrity, and auditability.
- Partner with business process owners, functional leads, and technical teams to translate business requirements into scalable data designs that support core operational processes and analytics.
- Guide migration strategy and object-level design decisions, including load sequencing, dependency management, logic, and tool selection for SAP S/4HANA data loads.
- Support data profiling, cleansing, and harmonization activities across master and transactional data domains to improve readiness for migration.
- Ensure migrated data supports reporting, compliance, and business performance requirements, including readiness for operational KPIs and downstream integrations.
- Provide architectural oversight for migration tooling such as SAP S/4HANA Migration Cockpit, staging table approaches, ETL frameworks, and related SAP data services.
- Develop and maintain architecture documentation, data mapping standards, and design artifacts to support delivery teams, governance bodies, and audit requirements.
- Drive continuous improvement in enterprise data practices by promoting reusable patterns, stronger governance, and sustainable data quality processes.
REQUIRED KNOWLEDGE, SKILLS, & ABILITIES
- Bachelor’s degree in information systems, Computer Science, Engineering, Business, or a related field.
- 10 to 15 years of experience working in SAP with multiple implementations across multiple modules.
- Experience in enterprise data architecture, data migration, or master data management within SAP environments for both GxP and non-GxP data sets.
- Strong knowledge of SAP S/4HANA data structures, master data objects, transactional data dependencies, and enterprise integration concepts.
- Experience defining enterprise data models, data standards, governance frameworks, and migration strategies for large-scale transformation programs.
- Direct understanding of migration and integration tools such as SAP S/4HANA Migration Cockpit, SAP Data Services, ETL platforms, and staging-based migration methods.
- Proven ability to lead cross-functional workshops, resolve complex data issues, and align technical design with business priorities.
- Strong analytical, documentation, communication, and cross-functional stakeholder management skills.
- Key technical skills in SAP S/4HANA Data Architecture, Enterprise Data Modeling, Data Governance, Data Migration Strategy, Master Data Management, Data Lineage, Data Quality, Data Harmonization, SAP Migration Cockpit, SAP Data Services, ETL Design, Validation and Reconciliation, Business Process Integration, Reporting and Analytics Readiness.
DESIRED KNOWLEDGE, SKILLS, & ABILITIES
- Experience supporting global SAP S/4HANA implementations across multiple business units, regions, or legal entities.
- Familiarity with SAP Master Data Governance, SAP Business Technology Platform, and analytics enablement for SAP reporting environments.
- Knowledge of regulated or compliance-driven environments that require strong data controls, traceability, and audit readiness.
- Experience with data quality management, harmonization programs, and post-go-live governance models.
- SAP certification or relevant architecture, data, or transformation credentials.
KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.
I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary.
I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.
JOB SUMMARY
The SAP Enterprise Data Architect role provides expertise in SAP S/4HANA data architecture, enterprise data modeling, migration strategy, and data governance. This is a key role in designing scalable data structures across source, staging, and target environments; defining migration and validation frameworks; and enabling high-quality, business-ready data to support operational processes, reporting, and analytics. This position requires strong partnering with business, functional, and technical stakeholders to align data design with transformation objectives, compliance requirements, and long-term governance standards.
JOB RESPONSIBILITIES
- Lead the design and governance of the enterprise data model for SAP S/4HANA, ensuring alignment across legacy sources, staging layers, and target business objects.
- Define end-to-end data architecture, including data lineage, harmonization rules, established structures, and simplified staging models to support efficient migration and downstream consumption.
- Establish data standards, governance policies, ownership models, validation rules, and reconciliation criteria to improve data quality, integrity, and auditability.
- Partner with business process owners, functional leads, and technical teams to translate business requirements into scalable data designs that support core operational processes and analytics.
- Guide migration strategy and object-level design decisions, including load sequencing, dependency management, logic, and tool selection for SAP S/4HANA data loads.
- Support data profiling, cleansing, and harmonization activities across master and transactional data domains to improve readiness for migration.
- Ensure migrated data supports reporting, compliance, and business performance requirements, including readiness for operational KPIs and downstream integrations.
- Provide architectural oversight for migration tooling such as SAP S/4HANA Migration Cockpit, staging table approaches, ETL frameworks, and related SAP data services.
- Develop and maintain architecture documentation, data mapping standards, and design artifacts to support delivery teams, governance bodies, and audit requirements.
- Drive continuous improvement in enterprise data practices by promoting reusable patterns, stronger governance, and sustainable data quality processes.
REQUIRED KNOWLEDGE, SKILLS, & ABILITIES
- Bachelor’s degree in information systems, Computer Science, Engineering, Business, or a related field.
- 10 to 15 years of experience working in SAP with multiple implementations across multiple modules.
- Experience in enterprise data architecture, data migration, or master data management within SAP environments for both GxP and non-GxP data sets.
- Strong knowledge of SAP S/4HANA data structures, master data objects, transactional data dependencies, and enterprise integration concepts.
- Experience defining enterprise data models, data standards, governance frameworks, and migration strategies for large-scale transformation programs.
- Direct understanding of migration and integration tools such as SAP S/4HANA Migration Cockpit, SAP Data Services, ETL platforms, and staging-based migration methods.
- Proven ability to lead cross-functional workshops, resolve complex data issues, and align technical design with business priorities.
- Strong analytical, documentation, communication, and cross-functional stakeholder management skills.
- Key technical skills in SAP S/4HANA Data Architecture, Enterprise Data Modeling, Data Governance, Data Migration Strategy, Master Data Management, Data Lineage, Data Quality, Data Harmonization, SAP Migration Cockpit, SAP Data Services, ETL Design, Validation and Reconciliation, Business Process Integration, Reporting and Analytics Readiness.
DESIRED KNOWLEDGE, SKILLS, & ABILITIES
- Experience supporting global SAP S/4HANA implementations across multiple business units, regions, or legal entities.
- Familiarity with SAP Master Data Governance, SAP Business Technology Platform, and analytics enablement for SAP reporting environments.
- Knowledge of regulated or compliance-driven environments that require strong data controls, traceability, and audit readiness.
- Experience with data quality management, harmonization programs, and post-go-live governance models.
- SAP certification or relevant architecture, data, or transformation credentials.
KBI Biopharma, Inc. is an EEO/AA employer and actively seeks to diversify its work force. Therefore, all qualified applicants, regardless of race, color, national origin, religion, gender, gender identity, sexual orientation, age, disability or veteran status, are strongly encouraged to apply.
I understand that neither the completion of this application nor any other part of my consideration for employment establishes any obligation for KBI Biopharma, Inc. to hire me. If I am hired, I understand that either KBI Biopharma, Inc. or I can terminate my employment at any time and for any reason, with or without cause and without prior notice. I understand that no representative of KBI Biopharma, Inc. has the authority to make any assurance to the contrary.
I attest with my signature below that I have given to KBI Biopharma, Inc. true and complete information on this application. No requested information has been concealed. I authorize KBI Biopharma, Inc. to contact references provided for employment reference checks. If any information I have provided is untrue, or if I have concealed material information, I understand that this will constitute cause for the denial of employment or immediate dismissal.
See All 102+ Enterprise Data Architect Jobs
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Find JobsEnterprise Data Architect Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Gusto7
- NTT DATA7
- Fivetran6
- Hewlett Packard Enterprise | HPE4
- Tata Consultancy Services (TCS)3
Top Industries Hiring
- Technology & Software42
- Biotechnology & Pharmaceuticals11
- Consulting & Professional Services11
- Electronics & Hardware6
- Insurance6
What Employers Look For
The qualifications that appear most often in enterprise data architect jobs.
- 7-plus years of experience designing and implementing enterprise-scale data architectures
- Deep hands-on expertise with cloud data platforms such as Snowflake, Databricks, or Azure Synapse
- Proficiency in data modeling disciplines including conceptual, logical, and physical design
- Experience establishing data governance frameworks, data quality standards, and metadata management practices
- Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or TOGAF
- Strong communication skills with a record of translating technical architecture decisions for executive stakeholders
Tips for Your Enterprise Data Architect Job Search
Tailor your resume to data platform specifics
Hiring managers expect your resume to name the exact platforms you've architected on, whether Snowflake, Databricks, Azure Synapse, or AWS Redshift. Generic 'cloud experience' won't move you past the screener. List your data platform choices and the business outcomes they drove.
Showcase governance and standards ownership
Enterprise data architect roles almost always require evidence that you've owned data governance frameworks, not just contributed to them. Call out specific artifacts you authored, such as data dictionaries, master data management policies, or metadata standards, and name the org size affected.
Apply early to roles that fit
Migrate Mate lists enterprise data architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by architecture maturity
A greenfield architecture build and a legacy modernization engagement demand different strengths. Read job descriptions closely for phrases like 'stand up' versus 'migrate' or 'rationalize.' Target postings where the stated challenge matches the type of work you do best.
Prepare a whiteboard-ready architecture diagram
Most enterprise data architect interviews include a live design exercise. Practice sketching a scalable data platform end to end, from ingestion through transformation to consumption layer, with your tooling rationale ready. Interviewers want to see how you think, not just what you've built.
Negotiate scope before you negotiate compensation
Before accepting an offer, clarify whether you'll have authority to enforce architectural decisions or only advise. An enterprise data architect with no enforcement mandate is a different job entirely. Get the reporting structure and decision rights in writing before your start date.
Enterprise Data Architect Jobs: Frequently Asked Questions
Which companies are hiring the most enterprise data architects?
The companies hiring the most enterprise data architects right now include Gusto, NTT DATA, and Fivetran, with the largest share of openings in California, Georgia, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in financial services, healthcare systems, and large technology organizations undergoing cloud modernization.
How many enterprise data architect jobs are remote?
About 57% of enterprise data architect openings are fully remote or hybrid as of June 2026, reflecting strong employer flexibility for senior architecture roles. Sub-areas most likely to be fully remote include cloud platform architecture and data governance advisory work, where output is measured by documentation and decisions rather than on-site presence.
How do you become an enterprise data architect?
Start by building a foundation as a data engineer or database administrator, then progressively take ownership of architectural decisions rather than just implementation. Develop proficiency in at least one major cloud data platform, earn a recognized architecture or cloud certification, and practice creating formal architecture artifacts like data models and governance frameworks. Moving into an architect title typically requires demonstrating that you can set standards others follow, not just execute against them.
Can you get hired as an enterprise data architect with limited experience?
Hiring managers rarely consider candidates without substantial hands-on architecture experience for enterprise data architect roles, but you can build toward the title deliberately. Target associate architect or senior data engineer roles that include architecture ownership in their scope, volunteer to lead data modeling or governance initiatives in your current position, and document the architectural decisions you drove as a portfolio you can present in interviews.
What does the enterprise data architect interview process look like?
The process typically runs across four to five stages. An initial recruiter screen is followed by a hiring manager conversation focused on your architecture philosophy and past scope. A technical panel then assesses your platform knowledge, data modeling depth, and governance experience. Most processes include a live design exercise where you architect a solution to a realistic business problem on a whiteboard or shared document. A final round with senior leadership or cross-functional stakeholders tests how you communicate architectural trade-offs to non-technical audiences.
Where can I find and apply to enterprise data architect jobs?
You can find and apply to enterprise data architect jobs on Migrate Mate, which lists current openings from across the United States. Find the roles that match your experience and specialization from the listings available, then apply directly to each one that fits.
See All 102+ Enterprise Data Architect Jobs
Jump back to the full list of openings and apply to any enterprise data architect role that fits.
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