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Enterprise Data Architect Jobs (NOW HIRING)

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

East West Bank is seeking a highly experienced Enterprise Data Architect to lead the design, modernization, and governance of the bank's enterprise data architecture strategy and AI-ready data ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

This role is designed for a hands‑on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management ...

Watkins Wellness

Enterprise Data Architect

Livonia, MI · On-site

Enterprise Data Architect****Role Summary**The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data ...

Masco Corporation

Enterprise Data Architect

Livonia, MI · On-site

Enterprise Data Architect Role Summary The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model ...

Judge Group, Inc.

Enterprise Data Architect

Harrisburg, PA · On-site

$110 - $120/hr

Enterprise Data Architect Location: Harrisburg, PA Duration: 3+ Months Work Arrangement * Hybrid Schedule: 1 day per week onsite (Tuesday, Wednesday, or Thursday) Interview Process * Hiring Manager ...

Prophecy Technologies

Enterprise Data Architect

The Enterprise Data Architect will provide leadership to accelerate strategic initiatives, integrations, modernization programs, and innovation projects. This involves designing scalable data ...

Apptad, Inc.

Enterprise Data Architect

Sacramento, CA · On-site

Enterprise Data Architect Location: Sacramento, CA (1-2 Days Hybrid/ weekly) Job Type: Long term contract Project Description We are seeking a highly experienced Enterprise Data Architect to support ...

Vantage Elevation, LLC

Salary Exempt Enterprise Data Architect Regular Position | Full-Time | Remote If you are a forward-thinker interested in building enterprise data strategy, strengthening data governance, and creating ...

Sarian, Inc.

Enterprise Data Architect

Jersey City, NJ · On-site

Enterprise Data Architect Location: Primary - NJ/NYC Secondary - Dallas/Charlotte/Atlanta/Chicago Fulltime Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will ...

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How much do enterprise data architect jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for enterprise data architect in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

What is an enterprise data architect?

An Enterprise Data Architect is a technology professional responsible for designing, managing, and maintaining an organization's overall data architecture. They develop strategies for data integration, storage, and management to ensure that information flows efficiently and securely across different business systems. Their duties often include working with stakeholders to define data standards, selecting appropriate technologies, and governing data to support business goals and regulatory compliance. Ultimately, they play a critical role in ensuring that an organization’s data assets are structured and utilized effectively.

What are the key skills and qualifications needed to thrive as an enterprise data architect?

To thrive as an Enterprise Data Architect, you need deep expertise in data modeling, database design, and enterprise architecture frameworks, often supported by a degree in computer science or a related field. Familiarity with data integration tools, cloud platforms (such as AWS or Azure), and certifications like TOGAF or CDMP is typically required. Strong analytical thinking, leadership, and effective communication skills help drive cross-functional collaboration and align data strategies with business goals. These skills ensure the creation of scalable, secure, and efficient data systems that support organizational success.

How does an enterprise data architect typically collaborate with other departments to implement data governance strategies?

Enterprise Data Architects work closely with stakeholders across departments such as IT, compliance, business analytics, and operations to establish and enforce data governance policies. They facilitate workshops and meetings to understand each department's data needs and challenges, ensuring that data standards are aligned with organizational goals. Regular collaboration is necessary to design data models, oversee data quality initiatives, and ensure consistent data definitions, which helps prevent data silos and promotes effective data utilization throughout the enterprise.

What is the difference between Enterprise Data Architect vs Data Engineer?

AspectEnterprise Data ArchitectData Engineer
CredentialsTypically requires a bachelor’s or master’s in computer science, information systems, or related fields; certifications like TOGAF or CDMP are common.Requires similar degrees; certifications like AWS or Google Cloud certifications are often preferred.
Work EnvironmentFocuses on designing data frameworks, enterprise-wide data strategies, and governance policies.Builds, maintains, and optimizes data pipelines and infrastructure.
Industry UsageUsed across industries for enterprise data management and architecture planning.Commonly employed in data pipeline development, big data projects, and cloud data solutions.

While both roles require strong data management skills and related certifications, the Enterprise Data Architect primarily designs overall data strategies and architecture, whereas the Data Engineer focuses on implementing and maintaining data pipelines and infrastructure.

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Enterprise Data Architect jobs near you
Infographic showing various Enterprise Data Architect job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

Harrisburg, PA • On-site

Global Data Consultants
IT Services • 201 - 500 employees
Learn more about Global Data Consultantsexternal

Full-time

Re-posted 5 days ago

Job description

Overview
GDC IT Solutions is currently seeking an Enterprise Data Architect to work in a hybrid capacity, with 3-4 days on-site per month in Harrisburg, PA.
As an Enterprise Data Architect, you will be responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable data products to support modernization, transformation, analytics, and future AI initiatives.
Responsibilities
Responsibilities
  • Define conceptual and logical data models, canonical models, and enterprise information standards for common business entities.
  • Design and evolve enterprise information architecture that incorporates data classification, privacy, security, regulatory, and interoperability requirements by design.
  • Define relationships between enterprise and domain-specific data assets and establish appropriate data domains, boundaries, stewardship, and ownership models.
  • Partner with product, engineering, platform, cloud, integration, and data teams to translate business concepts into scalable technical designs and reusable enterprise data products.
  • Support large-scale modernization initiatives by analyzing legacy systems, identifying information assets suitable for enterprise reuse, and developing data migration and target-state architecture strategies.
  • Define schemas, interfaces, metadata, data quality requirements, and other architectural standards for reusable data products.
  • Establish data architecture principles, standards, best practices, and guidelines related to data catalogs, lineage, observability, security, and interoperability.
  • Define business data definitions and data quality expectations while supporting the implementation of data quality initiatives and tooling.
  • Promote API-first and product-based approaches to enterprise information sharing while helping prevent duplication of data structures across applications and agencies.
  • Ensure enterprise data products are discoverable, governed, and structured to support future AI use cases, including semantic layers, knowledge graphs, and natural language access to enterprise information.

Minimum Qualifications
  • Minimum of 10 years of experience in data architecture, information architecture, or enterprise architecture.
  • At least 8 years of hands-on experience in data architecture, data engineering, or advanced database design and modeling, including experience designing or implementing data warehouses, data marts, and Master Data Management (MDM) concepts and tools.
  • At least 5 years of experience working with modern data platforms and cloud-based ecosystems, including technologies such as Snowflake, Databricks, MongoDB, AWS, Azure, or GCP.
  • Demonstrated experience supporting large-scale modernization or digital transformation initiatives across multiple business domains and stakeholder groups.
  • Experience designing and implementing data quality initiatives, including associated platforms and tooling.
  • Experience working with data security, privacy, and regulatory requirements for sensitive data.
  • Demonstrated ability to work effectively across business and technical domains with strong communication and collaboration skills.
  • Proven ability to independently develop work plans, resolve ambiguity, and lead teams without direct authority.
  • Bachelor's degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of relevant education and experience.

Preferred Experience
  • Experience working with unstructured data and modern approaches to enterprise information architecture.
  • Experience supporting AI and advanced analytics initiatives through governed, discoverable, and reusable enterprise data products.
  • Experience with semantic layers, knowledge graphs, natural language access, or other AI-enabling data architecture capabilities.
  • Experience in the public sector, healthcare, or financial services industries.
  • Previous experience serving as a Principal Architect, Enterprise Information Architect, Solution Architect, or similar senior architecture role within large enterprise environments or modernization initiatives.

What We Do:
Working for GDC means you will be at the forefront of the technological world. We are a full-service staffing and Information Technology service company striving to make a difference in our communities by finding, developing, and deploying solutions.
Why Work for GDC?
  • Cutting Edge Technology and Innovation
  • Career Growth Opportunities
  • Employee-Centric Environment
  • Comprehensive Benefits Package
  • Holiday and Vacation

Equal Opportunity Workplace:
GDC is an equal opportunity employer and welcomes applicants from all diverse backgrounds to apply. Our goal as an organization is to empower our teams to achieve their personal best and foster their professional growth regardless of race, ancestry, religion, sex, gender, national origin, sexual orientation, age, citizenship, marital status, physical ability or disability, or veteran status.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification forms upon hire.
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