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Enterprise Data Architect Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Nastech Global

Enterprise Data Architect

New York, NY · On-site

Enterprise Data Architect Location: New Jersey, NYC, Dallas, TX/Charlotte, NC/Atlanta, GA /Chicago, IL Job Type: Full Time Must Have Technical/Functional Skills Enterprise Data Architect in Data ...

Aristocrat

Enterprise Data Architect

Las Vegas, NV · On-site

The Data Architect will be responsible for defining and evolving enterprise data architecture principles, collaborating with business partners and technical teams to ensure alignment with business ...

Wilsonart

Enterprise Data Architect

Temple, TX · On-site

Enterprise Data Architect JOB SUMMARY As an Enterprise Data Architect, you are responsible for defining how data should be structured, integrated, and delivered across the organization to support ...

Sarian, Inc.

Enterprise Data Architect

Atlanta, GA · On-site

Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions ...

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Enterprise Data Architect information

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$25

$71

$91

How much do enterprise data architect jobs pay per hour?

As of Aug 4, 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.

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.

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.

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.
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Enterprise Data Architect jobs near you
Infographic showing various Enterprise Data Architect job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

Siritech Solutions Corp

Austin, TX • Hybrid

Full-time

Posted 18 days ago

Job description


Enterprise Data Architect (Data Management Strategy & Data Warehouse Modernization)

Total Required Experience in Years: 18+ Years

Mode of Work: Hybrid (3Days Onsite / 2 Days Remote), Texas locals only


Seeking an experienced Enterprise Data Architect to lead enterprise-wide Data Management Strategy and Data Warehouse Modernization initiatives. The consultant will provide strategic leadership in designing next-generation enterprise data platforms, cloud-based analytics solutions, and modern data architectures that support digital transformation, advanced analytics, and AI-driven decision making.

The ideal candidate will possess deep expertise in enterprise data architecture, cloud data platforms, modern data warehouses, data governance, emerging technologies, and enterprise architecture frameworks while collaborating with executive leadership and technical teams to define long-term data strategies and implementation roadmaps.

Key Responsibilities:

  • Lead enterprise Data Management Strategy development.

  • Define enterprise data architecture and modernization roadmaps.

  • Design next-generation cloud-native data warehouse solutions.

  • Architect enterprise data platforms supporting current and future business needs.

  • Develop execution plans, implementation roadmaps, and cost estimates.

  • Evaluate and recommend enterprise data technologies and platforms.

  • Lead technology selection and solution architecture activities.

  • Design scalable enterprise data integration and analytics architectures.

  • Develop customer engagement strategies for enterprise data initiatives.

  • Assist in defining enterprise data management organizational structure.

  • Drive cloud enablement and digital transformation initiatives.

  • Architect Data Lake, Lakehouse, Data Mesh, and Data Fabric solutions.

  • Implement enterprise Data Governance, Metadata Management, and Master Data Management (MDM) strategies.

  • Collaborate with business and technical stakeholders to align data initiatives with organizational objectives.

  • Anticipate project risks, bottlenecks, and technical constraints while recommending mitigation strategies.

  • Provide thought leadership on emerging technologies, AI/ML integration, and modern analytics platforms.

  • Prepare architecture documentation, executive presentations, and strategic recommendations.

  • Mentor technical teams and establish enterprise architecture best practices.

Required Skills:

  • Enterprise Data Architecture

  • Enterprise Data Management

  • Data Management Strategy

  • Data Warehouse Modernization

  • Cloud Data Platforms

  • Microsoft Azure

  • Amazon Web Services (AWS)

  • Google Cloud Platform (GCP)

  • Snowflake

  • Azure Synapse Analytics

  • Google BigQuery

  • Amazon Redshift

  • Databricks

  • Microsoft Fabric

  • Delta Lake

  • Data Lake Architecture

  • Lakehouse Architecture

  • Data Mesh

  • Data Fabric

  • Data Governance

  • Master Data Management (MDM)

  • Metadata Management

  • Data Quality Frameworks

  • ETL/ELT Architecture

  • Azure Data Factory

  • Informatica

  • Talend

  • dbt

  • Fivetran

  • Enterprise Solution Architecture

  • Cloud Architecture

  • Hybrid Cloud

  • TOGAF

  • Zachman Framework

  • AI/ML Integration

  • Generative AI

  • Docker

  • Kubernetes

  • Serverless Computing

  • DevOps

  • DataOps

Preferred Skills:

  • Decision Sciences

  • Digital Transformation

  • Enterprise Analytics

  • Business Intelligence

  • Cloud Migration

  • Enterprise Integration

  • Performance Optimization

  • Data Security

  • Executive Stakeholder Management

  • Strategic Technology Planning

Required Qualifications:

  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).

  • Minimum 18 years of enterprise IT experience.

  • Extensive experience with Enterprise Data Management Architecture.

  • Experience designing enterprise data modernization solutions.

  • Experience developing enterprise solution architectures.

  • Experience implementing cloud-based enterprise data platforms.

  • Experience architecting solutions using emerging technologies and modern enterprise data landscapes.

  • Experience supporting State or Local Government agencies (minimum 2 years).

  • Strong leadership, presentation, communication, and stakeholder management skills.

  • Experience leading enterprise digital transformation initiatives.

Preferred Qualifications:

  • Experience leading enterprise Data Warehouse modernization projects.

  • Experience with Data Mesh and Data Fabric architectures.

  • Experience with AI/ML and Generative AI integration into enterprise analytics.

  • Experience with enterprise architecture frameworks such as TOGAF or Zachman.

  • Experience implementing modern cloud-native analytics platforms.

  • Experience mentoring enterprise architecture and data engineering teams.

Deliverables:

  • Enterprise Data Management Strategy

  • Data Architecture Roadmaps

  • Enterprise Solution Architecture

  • Cloud Data Platform Architecture

  • Data Warehouse Modernization Strategy

  • Technology Evaluation Reports

  • Data Governance Framework

  • Enterprise Data Models

  • Implementation Roadmaps

  • Cost Estimates

  • Executive Presentations

  • Architecture Diagrams

  • Technical Standards

  • Strategic Recommendations

  • Knowledge Transfer Documentation

Education:

  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).