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Data Architect Modeler Jobs (NOW HIRING)

Ashley Global Retail, LLC

Enteprise Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Enteprise Data Architect Ashley Furniture Industries About Ashley Ashley Furniture Industries is ... This role translates business concepts into reusable enterprise models, authoritative definitions ...

SmartIPlace

Data Architect/Modeler

Jersey City, NJ · On-site

Data Architect/Modeler Location: Jersey City, NJ Must Have Qualifications: * 8-10 years of experience in Enterprise Data Architecture and Data Modeling across modern data platforms. * Hands-on ...

Apptad, Inc.

DATA ARCHITECT & MODELER

Alpharetta, GA · On-site

Location - Alpharetta, GA SENIOR DATA ARCHITECT & MODELER (Hands on) Responsibilities: * An expert to deliver a world class data architecture to an enterprise that establishes robust data governance ...

Nastech Global

Enterprise Architect Modeler

Mclean, VA · On-site

$69.75 - $90/hr

Document system interactions, integrations, and data flows across Icertis, Infor, and Costpoint. Support architecture governance by ensuring models remain aligned with enterprise architecture ...

Tata Consultancy Service Limited

Data Architect

Dallas, TX · On-site

$120K - $140K/yr

... Modeling • Enterprise Data Architecture • Data Modeling (Conceptual, Logical, Physical) • Data Product Design • Master Data Management (MDM) • Customer 360 Architecture • Real-Time ...

Oura

Senior Data Architect

San Francisco, CA

$79.25 - $106/hr

We are looking for a Data Architect with deep expertise in modern cloud architectures, semantic modeling, and agent-ready data design - data structured not just for human dashboards but for ...

EPSoft Technologies

Data Modeler /Architect

Dearborn, MI · On-site

$58.50 - $75.25/hr

Data Modeler /Architect Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time Salary- $120K-$130K Position Description: The Data Architect is a member of the Marketing ...

Ōura

Senior Data Architect

San Francisco, CA · On-site +1

$79.25 - $106/hr

We are looking for a Data Architect with deep expertise in modern cloud architectures, semantic modeling, and agent-ready data design - data structured not just for human dashboards but for ...

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DATA Architect Modeler information

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How much do data architect modeler jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data architect modeler in the United States is $76.92, according to ZipRecruiter salary data. Most workers in this role earn between $74.52 and $79.33 per hour, depending on experience, location, and employer.

What is a data architect modeler?

A Data Architect Modeler is a professional responsible for designing, creating, and managing data models and architectures that support an organization’s data needs. They work to structure and organize data, ensuring that it is accurate, accessible, and secure for various business purposes. Their role often involves collaborating with other IT professionals to define data requirements, create database solutions, and establish data standards and best practices. By doing so, they help organizations make data-driven decisions and maintain data integrity.

What are the key skills and qualifications needed to thrive as a data architect modeler?

To thrive as a Data Architect Modeler, you need expertise in database design, data modeling techniques (such as ER and dimensional modeling), and a solid understanding of data management principles, typically supported by a degree in computer science or a related field. Proficiency in data modeling tools (e.g., ERwin, IBM InfoSphere Data Architect), SQL, and familiarity with various database systems are essential, with certifications like CDMP or DAMA being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help translate business requirements into robust data architectures. These competencies ensure scalable, efficient, and reliable data solutions that align with organizational goals.

What are some common challenges faced by data architect modelers when integrating new data sources into existing systems?

Data Architect Modelers often encounter challenges such as ensuring data consistency and quality when integrating new data sources, especially if those sources use different formats or standards. They must also address potential performance issues that arise when large volumes of data are incorporated. Additionally, aligning new data sources with existing business rules and security protocols requires close collaboration with stakeholders in IT, security, and business teams. Successfully overcoming these challenges involves thorough planning, clear communication, and robust data governance practices.
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DATA Architect Modeler jobs near you
Infographic showing various Data Architect Modeler job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $160,000 per year, or $76.9 per hour.

Enteprise Data Architect

Ashley Global Retail, LLC

Tampa, FL • On-site

$60.25 - $77.50/hr

Full-time

Posted 14 days ago

Ashley Furniture rating

6.1

Company rating: 6.1 out of 10

Based on 294 frontline employees who took The Breakroom Quiz

39th of 52 rated furniture manufacturers

Job description

Enteprise Data Architect
Ashley Furniture Industries
About AshleyAshley Furniture Industries is the world's largest manufacturer of furniture, serving customers in more than 123 countries. As we continue investing in automation, AI, robotics, and digital manufacturing, we're transforming our production facilities into next-generation Smart Factories.
Role Summary
  • The Enterprise Data Architect defines and enables the shared data foundation that ensures consistent understanding of core business entities across the enterprise.
  • This role translates business concepts into reusable enterprise models, authoritative definitions, and contextual frameworks that accelerate decision-making, improve data product delivery, and ensure AI and analytics solutions operate on trusted, aligned data.
  • By establishing a common language for data, this role reduces ambiguity, strengthens cross-domain alignment, and enables teams to deliver faster with confidence.

What success looks like
  • Business-critical data is consistently defined and understood across teams
  • Data products, analytics, and AI solutions are built on trusted, aligned definitions
  • Cross-domain data conflicts are resolved quickly with clear decisions
  • Teams spend less time reconciling data and more time delivering business value
  • Enterprise data context is discoverable, reusable, and embedded in delivery workflows

What you'll do
Enterprise Data Architecture & Modeling
  • Define and evolve enterprise conceptual and logical data models for key business domains
  • Establish clear representations of business entities, relationships, and domain boundaries
  • Provide architectural guidance that promotes consistency while supporting team autonomy
  • Apply enterprise modeling and naming standards through practical guidance and review
  • Identify gaps in standards based on real-world usage and drive continuous improvement

Shared Definitions & Business Alignment
  • Develop and maintain authoritative definitions for cross-domain business concepts
  • Enable a common business language that supports reporting, analytics, and AI
  • Identify risks where inconsistent definitions could impact business outcomes and drive stakeholder alignment to resolve those conflicts

Data Product Enablement
  • Partner with Data Product Management and delivery teams to embed enterprise context into design
  • Ensure data context is usable and reliable for AI, analytics, and semantic layers
  • Ensure alignment between data products and enterprise models without slowing delivery
  • Provide guidance that improves delivery speed and reduces rework
  • Support the operationalization of data context in catalogs, semantic layers, and data products

Key Deliverables
  • Enterprise models for priority domains and shared concepts
  • Approved definitions for key business entities and metrics
  • Resolution of cross-domain data definition conflicts
  • Architectural guidance that improves alignment across data products
  • Reusable, published data context for enterprise consumption

Role Boundaries
This role does not own physical data design, pipelines, or delivery execution. The focus is on enterprise data architecture, shared meaning, and cross-domain alignment.
Required Qualifications
  • 5+ years of experience in enterprise data modeling, data architecture, information architecture, semantic modeling, or a closely related discipline.
  • Demonstrated experience developing conceptual and logical data models across multiple business domains.
  • Strong ability to translate business language into precise definitions, entities, relationships, and reusable data structures.
  • Experience facilitating cross-functional alignment with business SMEs, data architects, analysts, engineers, product managers, and governance stakeholders.
  • Familiarity with metadata management, data catalogs, data governance, data products, and data quality concepts.
  • Strong written communication skills, including the ability to produce clear model documentation and decision records.

Preferred Qualifications
  • Experience with enterprise modeling tools, metadata repositories, catalog platforms, or knowledge graph / ontology patterns.
  • Experience with domain-driven design, master data, reference data, canonical models, semantic layers, or data contracts.
  • Familiarity with AI grounding, RAG, vector search, or ontology integration patterns.
  • CDMP, DAMA, TOGAF, or comparable data architecture / data management certification.

Success Measures
  • Adoption of enterprise models and definitions across teams
  • Reduced time spent resolving data inconsistencies
  • Improved speed and quality of data product and analytics delivery
  • Increased confidence in data used for business decisions and AI

Ashley Furniture Industries is proud to be an Equal Opportunity Employer and maintains a drug-free workplace. While we appreciate the interest of all applicants, only candidates selected for further consideration will be contacted.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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