ZipRecruiter

Log In

1

Enterprise Data Jobs (NOW HIRING)

Mayer Brown

Architect: Enterprise Data

Chicago, IL · On-site

Enterprise Data to join their Information Technology department in Chicago, responsible for owning enterprise semantic model architecture with a focus on Finance-aligned analytical models and ...

CBRE

Enterprise Data Product Lead

Richardson, TX · On-site

As a CBRE Enterprise Data Product Lead, you will own and drive the full lifecycle of enterprise data products from strategy through scaled adoption to enable data-driven decision-making across the ...

CSAA

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Enterprise Data Architect - Remote

Carolina, RI · Remote

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Enterprise Data Architect - Remote

Louisiana, MO · Remote

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

Cybercoders

Enterprise Data Manager

Pittsburgh, PA · On-site

Enterprise Data Manager Enterprise Data Manager Position Overview We are seeking an experienced Enterprise Data Manager to lead the company's enterprise data strategy, drive data quality and ...

CSAA

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

CSAA

Enterprise Data Architect - Remote

New York, NY · Remote

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

next page

Showing results 1-20

All JobsEnterprise Data Jobs

Enterprise Data information

See salary details

$25

$71

$91

How much do enterprise data jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for enterprise data 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 professional typically collaborate with other departments within an organization?

Enterprise Data professionals regularly work with cross-functional teams, including IT, business analysts, and department heads, to ensure data is accurately collected, integrated, and leveraged for business insights. This collaboration often involves understanding departmental data needs, translating business requirements into technical solutions, and facilitating data governance practices. Effective communication and coordination are key, as these professionals help bridge the gap between technical data management and business objectives, ensuring data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an Enterprise Data professional, and why are they important?

To thrive as an Enterprise Data professional, you need a strong background in data management, analytics, and database technologies, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, ETL systems, and certifications such as CDMP or AWS Data Analytics are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for translating business needs into data solutions. These skills ensure the integrity, accessibility, and strategic use of data to drive business insights and decision-making.

Which 3 jobs will survive AI?

In the enterprise data field, roles such as data engineers, data analysts, and data scientists are likely to persist as AI tools automate routine tasks but require human expertise for complex problem-solving, model development, and data architecture. These jobs demand skills in programming, statistical analysis, and understanding of business context, making them more resilient to automation.

What is an Enterprise Data professional?

An Enterprise Data professional is responsible for managing, organizing, and securing the large volumes of data generated and used by a business or organization. Their role typically involves developing data strategies, ensuring data quality, integrating various data sources, and supporting data governance initiatives. They work to ensure that data is accessible, reliable, and used effectively to drive business decisions across the enterprise. These professionals often collaborate with IT, data analysts, and business leaders to align data management practices with organizational goals.

What is the difference between Enterprise Data vs Data Analyst?

AspectEnterprise DataData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst Associate common
Work EnvironmentTypically within large organizations managing enterprise-wide data systemsOften in various industries analyzing data sets to generate reports and insights
Employer & Industry UsageUsed by corporations to manage and govern enterprise data assetsEmployed across industries to interpret data and support decision-making

Enterprise Data professionals focus on managing and governing large-scale organizational data systems, ensuring data quality and compliance. Data Analysts interpret data to provide actionable insights, often working on specific projects or departments. While both roles require strong analytical skills, Enterprise Data roles emphasize data infrastructure and strategy, whereas Data Analysts focus on data interpretation and reporting.

What jobs pay $500,000 a year in the US?

In enterprise data roles, senior positions such as Chief Data Officer, Data Science Director, or Vice President of Data often reach or exceed $500,000 annually, especially in large organizations. These roles typically require extensive experience, advanced skills in data management, analytics, and leadership, and may include bonuses and stock options that contribute to total compensation.

What jobs pay 200,000 a year in the USA?

In the field of enterprise data, roles such as Data Architects, Data Engineering Managers, and Chief Data Officers often have salaries exceeding $200,000 annually, especially with extensive experience, advanced skills in SQL, cloud platforms, and data governance, and in large organizations. These positions typically require strong leadership, strategic planning, and expertise in data management tools and technologies.

What does enterprise data mean?

Enterprise data refers to the comprehensive collection of information generated and used by an organization to support its operations, decision-making, and strategic planning. In an enterprise data role, professionals often work with data management tools, databases, and data governance practices to ensure data quality, security, and accessibility across the organization.
More about Enterprise Data jobs
What job categories do people searching Enterprise Data jobs look for? The top searched job categories for Enterprise Data jobs are:
Enterprise Data jobs near you
Infographic showing various Enterprise Data job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 3% Part Time, 2% Temporary, and 11% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% 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 yesterday

Job description

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.

Apply