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Enterprise Data Architect Jobs (NOW HIRING)

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 ...

Astyra Corporation

Enterprise Data Architect

Harrisburg, PA · Hybrid

$120 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Enterprise Data Architect *This is a hybrid role with 1 day/week onsite. *We are not considering Corp-to-Corp (C2C) arrangements for this position. Description: * The Enterprise Data Architect is ...

New

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 ...

New

VIVA USA INC

Enterprise Data Architect

Harrisburg, PA · On-site

Hybrid - one day weekly (Tue, Wed or Thursday) Role Summary The Enterprise Data Architect is responsible for defining and evolving the Commonwealth's enterprise information architecture and reusable ...

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 ...

Zeforge LLC

Enterprise Data Architect

Harrisburg, PA · On-site

Enterprise Data Architect Location : Harrisburg, PA Work Mode : Hybrid - 1 day/week onsite (Tuesday, Wednesday, or Thursday) Office : 607 South Drive, Forum Building, 5th Floor, Harrisburg Interview

New

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 ...

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Enterprise Data Architect information

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How much do enterprise data architect jobs pay per hour?

As of Aug 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.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 7 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

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, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.
What You'll Own
Enterprise Data Model & Master Data Foundations
  • Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.

  • Own the governed master data foundations - Product, Retailer, Geographic, and Calendar.

  • Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.

  • Evaluate and lead implementation of master data management tools and processes to support the governed master data foundations.

Attribution & Harmonization
  • Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.

  • Codify attribution logic into governed rules with clear ownership and change-approval processes.

  • Approve hierarchy changes, mapping exceptions, and material structural changes.

  • Actively curate product hierarchies and attribution mappings as ongoing operational activities, with the Business Data Analyst supporting attribution stewardship, use case validation, and downstream impact analysis.

Data Quality, Standards & Technical Governance
  • Set harmonization, modeling, and data-quality standards, including validation guidelines.

  • Enforce policies for data engineering, integration, security, and compliance.

  • Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders, with the Business Data Analyst supporting quality validation and consumer follow-up.

  • Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.

Design Integrity for Requests, Enhancements & Delivered Work
  • Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.

  • Approve architectural approaches before build begins.

  • Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.

  • Provide design-integrity oversight of release management for engineering enhancements, requests, and projects, confirming released work aligns with the enterprise model and standards while the Data Engineering Leader owns the operational execution.

Technical Leadership & Investment Guidance
  • Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.

  • Coach engineers on modeling discipline and enterprise design principles.

  • Contribute to strategic planning, talent, tooling, and vendor evaluations.

  • Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.

Documentation & Knowledge Management
  • Own the documented definition of the enterprise data model, masters, and attribution rules.

  • Establish documentation standards for models, attribution logic, and modeling decisions, in partnership with the Data Engineering Leader.

  • Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.

  • Champion a "documented once, reused everywhere" culture across the team.

How You'll Partner (may not need in final posting but good context)
  • Data Engineering Leader and Data Engineers: Provide specs, standards, and design authority. Partner on delivery reviews and issue resolution.

  • BI Delivery Leader and BI Developers: Align on semantic layer and metric definitions built on the governed model.

  • Technical Product Owner and Business Data Analyst: Partner on intake to confirm work fits the enterprise model.

  • BU Analytics, HQ data stewards, and governance forums: Act as design authority in attribution and hierarchy governance.

  • HQ IT, Security, and Architecture: Align enterprise data architecture with broader technology strategy.

Required Qualifications
Education & Experience
  • Bachelor's degree or higher in a related field, or equivalent professional experience.

  • Substantial experience as an Enterprise Data Architect, Data Architect, or comparable role, including designing and governing enterprise data models across multiple business units or domains.

  • Proven track record establishing master data, attribution, and harmonization standards in a multi-source, multi-brand environment.

  • Experience leading and coaching technical data teams toward enterprise standards.

Skills & Competencies
  • Design-authority mindset. Sets direction, holds the line on standards, and coaches others on why those standards matter.

  • Strong strategic thinker who can move from ambiguity to a modeled, governed answer.

  • Excellent communicator who can translate architecture decisions for both technical and business audiences.

  • Detail-oriented and self-directed on complex, cross-functional problems.

  • Flexible. Balances enterprise standards with pragmatic delivery.

  • Collaborative across IT, Analytics, HQ, and Business Units.

  • Continuous learner who stays current on emerging data practices.

Technical Understanding
  • Strong understanding of enterprise data architecture and dimensional/semantic modeling (Kimball, Lakehouse patterns such as bronze/silver/gold).

  • Working knowledge of modern cloud data platforms (Databricks, Azure data stack) and how to lead teams delivering against them.

  • Familiarity with SQL, Python, ETL/ELT patterns, and BI semantic models sufficient to guide and evaluate engineering work.

  • Understanding of data quality, catalog, lineage, and metadata management practices.

  • Understanding of security, access, and compliance standards as they apply to enterprise data.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Prior experience designing master data, attribution logic, or product hierarchies across multiple retailers or channels.

  • Familiarity with modern DataOps, Agile, or Kanban practices.

  • Exposure to AI/ML-ready data architecture patterns (feature stores, governed semantic layers for AI/agentic consumption).

Company: Masco
Full time
Hiring Range: $103,700.00 - $163,020.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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