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Enterprise Data Architecture Jobs (NOW HIRING)

Prophecy Technologies

Enterprise Data Architect

The Enterprise Data Architect will provide leadership to accelerate strategic initiatives ... Provide architecture guidance for data modernization and data fabric initiatives. * Collaborate ...

Ports North

Enterprise Data Architect

Columbus, OH · On-site

$110 - $130/hr

Design and Maintain Enterprise Data Architecture * Data Governance, Quality and Security * Integration and Data Flow Management * Untangle large, old, complex data environments. * Work with legacy ...

New

Sarian, Inc.

Enterprise Data Architect

Jersey City, NJ · On-site

Roles & Responsibilities - Strong experience in Enterprise Data Architecture and Roadmap and effectively engaging various client Stakeholders on the architecture proposition. - Strong experience in ...

Aristocrat

Enterprise Data Architect

Las Vegas, NV · On-site

Responsibilities : • Define and evolve enterprise data architecture principles, standards, and build specifications. • Produce detailed technical development artifacts including data flow ...

IS3 Solutions

Senior Enterprise Data Architect

Houston, TX · On-site

$64.25 - $86/hr

The role involves collaborating with stakeholders to align data architecture with business objectives and ensuring data governance and quality across the enterprise. Responsibilities : • Define and ...

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Enterprise Data Architecture information

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$25

$71

$91

How much do enterprise data architecture jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for enterprise data architecture 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 the difference between Enterprise Data Architecture vs Data Engineer?

AspectEnterprise Data ArchitectureData Engineer
Required CredentialsBachelor's/Master's in Computer Science, Data Management, or related fields; certifications like TOGAF or DAMA-DMBOKBachelor's in Computer Science, Software Engineering, or related; certifications like AWS, Google Cloud, or Microsoft Azure Data Engineer
Work EnvironmentStrategic planning, architecture design, cross-department collaborationBuilding, maintaining, and optimizing data pipelines and databases
Employer & Industry UsageUsed by organizations to develop data strategies and architecture frameworksEmployed in data teams to implement data solutions and infrastructure

Enterprise Data Architects focus on designing comprehensive data frameworks and strategies, while Data Engineers build and maintain the data infrastructure to support these architectures. Both roles are essential in managing organizational data effectively but differ in scope and responsibilities.

How does an enterprise data architect typically collaborate with other departments to ensure data consistency across the organization?

Enterprise Data Architects work closely with stakeholders from IT, business units, and data governance teams to establish and enforce data standards and models. They often lead cross-functional workshops to align on data definitions and ensure that data flows seamlessly between systems. Regular communication and documentation are key, as architects must translate business requirements into technical specifications and guide implementation teams. This collaboration helps maintain data consistency and supports organizational decision-making.

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

To thrive as an Enterprise Data Architect, you need deep expertise in data modeling, data management, and architectural frameworks, usually backed by a degree in computer science or a related field. Familiarity with data integration tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like TOGAF or CDMP are highly valued. Strong analytical thinking, communication, and stakeholder management skills help bridge technical solutions with business needs. These capabilities are crucial for designing scalable, secure, and efficient data architectures that support organizational strategy and decision-making.

What is enterprise data architecture?

Enterprise Data Architecture is a strategic framework that defines the structure, standards, and processes for managing data across an entire organization. It ensures that data is organized, integrated, and accessible to support business goals, decision-making, and compliance requirements. Enterprise Data Architects design and implement systems that allow different departments to share information efficiently and securely while maintaining data quality and consistency.
More about Enterprise Data Architecture jobs
What cities are hiring for Enterprise Data Architecture jobs? Cities with the most Enterprise Data Architecture job openings:
What are the most commonly searched types of Enterprise Data Architecture jobs? The most popular types of Enterprise Data Architecture jobs are:
What job categories do people searching Enterprise Data Architecture jobs look for? The top searched job categories for Enterprise Data Architecture jobs are:
Enterprise Data Architecture jobs near you
Infographic showing various Enterprise Data Architecture job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Director, Enterprise Data Architecture & Strategy (Quincy)

ViziRecruiter,LLC.

Quincy, MA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading grocery retail company is seeking an Enterprise Data Architect Director to establish the architectural vision and IT roadmap. The role requires experience in enterprise architecture, data strategy, and team leadership. The position focuses on aligning IT solutions with business objectives while ensuring compliance with governance standards. Preferred qualifications include experience in cloud-based data platforms and strong communication skills with senior stakeholders.
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