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Enterprise Data Management Jobs (NOW HIRING)

Resideo

Lead Enterprise Data Architect

Saint Louis, MO · On-site

Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management ...

Contech Systems

Enterprise Data Architect

Newark, NJ · On-site

Enterprise Data Architect The Data Architect defines enterprise data architecture standards ... Establish data lifecycle, persistence, and master data management standards. * Define data ...

Axiom Path

Enterprise Data Architect #3599143

Portland, OR · On-site +1

$150K - $173K/yr

The business is modernizing a long-standing legacy data environment, preparing for a major ERP consolidation, and building a future-state enterprise data management platform that will support ...

Carmeuse

Enterprise Data Manager

Pittsburgh, PA

$150K - $167K/yr

The Enterprise Data Fabric Manager will be managing Carmeuse's global Data Warehouse (DWH) and ... Lead the implementation and management of the global data warehouse and Ataccama-based MDM ...

Carmeuse Americas

Enterprise Data Manager

Pittsburgh, PA · On-site

$150K - $167K/yr

The Enterprise Data Fabric Manager will be managing Carmeuse's global Data Warehouse (DWH) and ... Lead the implementation and management of the global data warehouse and Ataccama-based MDM ...

Carmeuse

Enterprise Data Manager

Pittsburgh, PA · On-site

$150K - $167K/yr

The Enterprise Data Fabric Manager will be managing Carmeuse's global Data Warehouse (DWH) and ... Lead the implementation and management of the global data warehouse and Ataccama-based MDM ...

BravoTech

Data Management Manager

Dallas, TX · On-site

Data Management Manager Location: Dallas, TX Duration: 6+ Month Contract About the Role We are ... Lead enterprise data modernization programs, including migration from legacy platforms to cloud ...

U.S. Bank

Enterprise Data Architect

Hopkins, MN · On-site

S. Bank is seeking an experienced Enterprise Data Architect to define, lead, and evolve our ... Define standards for data quality, metadata, master data, and lifecycle management.

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How much do enterprise data management jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for enterprise data management 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.

Is data management a good career option?

Enterprise Data Management is a viable career choice for individuals interested in organizing, maintaining, and analyzing data within organizations. It often requires skills in database tools, data governance, and analytics, with opportunities across various industries. The field offers steady demand and potential for advancement as data-driven decision-making becomes increasingly important.

What is an Enterprise Data Management job?

An Enterprise Data Management (EDM) job focuses on organizing, governing, and optimizing an organization's data to ensure accuracy, security, and accessibility. Professionals in this role develop data policies, implement data quality standards, and manage data governance frameworks. They work closely with IT, business, and compliance teams to integrate data across various systems and improve decision-making. EDM roles are crucial for organizations that rely on data-driven strategies for efficiency and compliance.

What does enterprise data management do?

Enterprise Data Management (EDM) involves organizing, storing, and maintaining an organization's data to ensure accuracy, consistency, and security. It includes establishing data governance policies, implementing data quality standards, and using tools like data warehouses and metadata management systems to support decision-making and compliance.

What is the highest paying job in data?

In data management, senior roles such as Chief Data Officer (CDO) or Data Executive typically have the highest salaries, often exceeding six figures annually. These positions require extensive experience, strategic oversight, and expertise in data governance, analytics, and tools like data warehouses and cloud platforms.

What are the key skills and qualifications needed to thrive in the Enterprise Data Management position, and why are they important?

To thrive in Enterprise Data Management, you need a strong background in database management, data governance, analytics, and information architecture, often supported by a degree in computer science or information systems. Familiarity with tools like SQL, data warehousing solutions, master data management (MDM) platforms, and certifications such as CDMP (Certified Data Management Professional) are highly valued. Strong project management, problem-solving abilities, and effective communication help professionals collaborate across departments and drive data initiatives. These skills ensure data integrity, regulatory compliance, and the ability to turn data into actionable business insights.

What are the typical day-to-day responsibilities of someone working in Enterprise Data Management?

Professionals in Enterprise Data Management are responsible for developing and enforcing data standards, designing and maintaining data systems, and ensuring data quality and compliance across the organization. They often collaborate with business analysts, IT teams, and executive leadership to identify data needs, oversee large data migrations, and manage data governance frameworks. Daily tasks may include data integration, troubleshooting data issues, implementing security protocols, and preparing reports for stakeholders. This role frequently involves a mix of technical work, strategic planning, and cross-functional teamwork, making it both challenging and rewarding.

What is an enterprise data manager?

An enterprise data manager is a professional responsible for overseeing an organization's data strategy, governance, and quality. They manage data assets, implement data management tools, and ensure data compliance across departments, often requiring knowledge of database systems and data governance frameworks.
More about Enterprise Data Management jobs
What are the most commonly searched types of Enterprise Data Management jobs? The most popular types of Enterprise Data Management jobs are:
What states have the most Enterprise Data Management jobs? States with the most job openings for Enterprise Data Management jobs include:
What job categories do people searching Enterprise Data Management jobs look for? The top searched job categories for Enterprise Data Management jobs are:
Enterprise Data Management jobs near you
Infographic showing various Enterprise Data Management job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% 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.

Lead Enterprise Data Architect

ADI Global

Saint Louis, MO • On-site

Full-time

Posted 11 days ago

Job description


Enterprise Data Architect
We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture. This role combines strategic leadership with hands-on technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use.
The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities.
JOB DUTIES
Enterprise Data Architecture Leadership
  • Define and maintain the enterprise data architecture strategy, reference models, and standards
  • Create and govern canonical data models, domain models, and integration patterns
  • Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams
  • Drive modernization toward cloud-native, scalable, AI-ready architectures
  • Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention)

Data Modeling & Canonical Design
  • Lead design of conceptual, logical, and physical data models across domains
  • Establish enterprise-wide modeling standards, naming conventions, and modeling patterns
  • Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data

Semantic / Context Layer Architecture
  • Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities
  • Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems
  • Ensure alignment with analytics engineering (dbt, metric stores, semantic tools)

Master Data & Governance Architecture
  • Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns
  • Partner with governance teams to operationalize policies through technology
  • Integrate metadata, lineage, and governance workflows into the architecture

Data Integration & Platform Architecture
  • Define ingestion, transformation, and consumption patterns across batch, streaming, and API-based pipelines
  • Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real-time components

Metadata, Catalog, and Lineage Architecture
  • Ensure scalability, performance, security, and cost optimization
  • Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems
  • Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar
  • Ensure metadata is complete, accurate, and actionable for governance and engineering teams

Hands-On Technical Execution
  • Build and validate architectural prototypes, POCs, and reference implementations
  • Write SQL, design schemas, build lineage connectors, and define transformation logic
  • Troubleshoot complex data architecture issues across pipelines, models, and platforms

Cross-Functional Leadership
  • Partner with data engineering, analytics, MDM, governance, product, and application teams
  • Provide architectural guidance, code reviews, and technical mentorship
  • Communicate architectural decisions to executives, engineers, and business stakeholders
    YOU MUST HAVE
  • 8+ years of experience in data architecture, data engineering, or enterprise architecture
  • Deep hands-on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)
  • Strong expertise in data modeling (dimensional, relational, canonical, semantic)
  • Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar
  • Strong SQL, data pipeline design, and metadata/lineage engineering skills
  • Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.)
  • Ability to translate business needs into scalable architectural designs
  • Experience with enterprise architecture frameworks (TOGAF, DAMA-DMBOK)
  • Background in designing AI-ready data architectures (feature stores, vector stores, semantic layers)
  • Experience with API-driven architectures and event-driven patterns
  • Familiarity with data products and data mesh concepts
  • Adoption of standardized data models and architectural patterns across the enterprise
  • Reduction in data duplication, inconsistencies, and integration complexity
  • High-quality, governed, discoverable data powering analytics and AI
  • Scalable, cost-efficient cloud data platform performance
  • Strong alignment between business, engineering, and governance teams
    WE VALUE
  • Experience with enterprise architecture frameworks (TOGAF, DAMA-DMBOK)
  • Background in designing AI-ready data architectures (feature stores, vector stores, semantic layers)
  • Experience with API-driven architectures and event-driven patterns
  • Familiarity with data products and data mesh concepts

Success Measures
  • Adoption of standardized data models and architectural patterns across the enterprise
  • Reduction in data duplication, inconsistencies, and integration complexity
  • High-quality, governed, discoverable data powering analytics and AI
  • Scalable, cost-efficient cloud data platform performance
  • Strong alignment between business, engineering, and governance teams

#LI-FH1 #hybrid
About Us
Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions.
Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com.
At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster, "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

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