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Enterprise Data Jobs (NOW HIRING)

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 ...

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 ...

FGS LLC

Enterprise Data Management Architect

Suitland, MD · On-site

$170K - $180K/yr

This position is responsible for developing enterprise data architectures that enable secure discovery, storage, sharing, protection, and lifecycle management of structured and unstructured ...

New

FGS LLC

Enterprise Data Management Architect

Suitland, MD · Hybrid

$170K - $180K/yr

This position is responsible for developing enterprise data architectures that enable secure discovery, storage, sharing, protection, and lifecycle management of structured and unstructured ...

New

OU Health

Enterprise Data Architect

Enterprise Data Architect Department: ETS Analytics and AI Data This position may be performed remotely from the following locations within the United States of America: Arkansas, Kansas, Missouri ...

Mayer Brown

Architect: Enterprise Data

Chicago, IL · On-site

Enterprise Data. The Architect: Enterprise Data is a critical role within the Global Data and Analytics team, responsible for owning enterprise semantic model architecture with a primary focus on ...

Axiom Path

Enterprise Data Architect #3599143

Dallas, TX · 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 ...

CBRE

Enterprise Data Product Lead

Dallas, 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 ...

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How much do enterprise data jobs pay per hour?

As of Jul 12, 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.

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 make $1,000,000 a year?

In enterprise data roles, high-paying positions such as Chief Data Officer, Data Science Director, or Chief Analytics Officer can reach or exceed $1 million annually, especially in large corporations or tech firms. These roles typically require extensive experience, advanced skills in data management, analytics, and leadership, along with strong business acumen and often involve performance-based bonuses or equity components.

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

In enterprise data roles, high-paying positions such as Chief Data Officer, Chief Analytics Officer, or senior data executive can reach or exceed $500,000 annually, especially in large corporations. These roles typically require extensive experience, advanced skills in data management, analytics, and leadership, and often involve overseeing data strategy and infrastructure at an organizational level.

What does enterprise data mean?

Enterprise data refers to the comprehensive collection of information generated and used across an organization, including customer, financial, operational, and transactional data. Managing this data involves data governance, quality, and security practices, often utilizing tools like data warehouses and analytics platforms. For enterprise data roles, skills in database management, data modeling, and familiarity with data management tools are essential.

What is the highest paying data job?

In enterprise data roles, Chief Data Officer (CDO) and Data Engineering Manager positions tend to be among the highest paying, often earning six-figure salaries or more. These roles require extensive experience, leadership skills, and expertise in data management, architecture, and analytics tools.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

Aristocrat

Las Vegas, NV • On-site

Full-time

Posted 19 days ago

Job description

Job Summary:
Aristocrat is a global leader in gaming content and technology, dedicated to bringing happiness to life through the power of play. 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 goals, and developing data models that support the enterprise data platform.
Responsibilities:
• Define and evolve enterprise data architecture principles, standards, and build specifications.
• Produce detailed technical development artifacts including data flow diagrams, process flows, and system interactions.
• Partner with collaborators to map processes, data flows, and system dependencies end-to-end and translate complex business processes into clear data and process flow builds.
• Design end-to-end data lifecycle within the enterprise data platform, from source systems through standardization to consumption.
• Develop and maintain conceptual, logical, and physical data models that align with enterprise standards.
• Establish and enforce data modeling standards, naming conventions, and documentation practices.
• Define and manage data abstraction layers (conceptual, logical, physical, semantic).
• Apply guidelines across 3NF, dimensional, and Data Vault modeling approaches.
• Ensure alignment between business definitions, data structures, and downstream consumption needs.
• Build and maintain canonical data models to enable consistency across systems and domains.
• Define enterprise integration patterns for data sharing (cloud share, batch, streaming, APIs, event-driven) and their appropriate use.
• Architect for interoperability across platforms, enabling decoupled and reusable data assets.
• Define data contracts and interface specifications between producers and consumers.
• Make and detail architecture trade-offs (e.g., normalization vs usability, latency vs consistency).
• Promote data quality, lineage, and governance throughout data flows.
• Perform data analysis and data profiling to validate assumptions and inform builds.
• Guide and mentor team members on architectural standards and technical build guidelines.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.
• 5+ years of experience in data architecture or advanced data modeling roles.
• Proven experience designing models in manufacturing, gaming, or retail domains.
• Extensive experience in conceptual, logical, and physical modeling.
• Hands-on experience with Snowflake data modeling and implementation alignment.
• Proficient in SQL for data examination and profiling.
• Experience with data modeling tools (ERwin, ER/Studio, etc.) and diagramming tools (Lucidchart, Visio, etc.).
• Excellent communication and storytelling skills with data structures.
• Highly diligent with a focus on accuracy, consistency, and semantic clarity.
• Ability to evaluate trade-offs and make sound architectural decisions.
Company:
Aristocrat Leisure Limited (Aristocrat) is a global entertainment and content creation company powered by technology to deliver world-leading casino and mobile games. Founded in , the company is headquartered in North Ryde, New South Wales, AU, , with a team of 5001-10000 employees. The company is currently Late Stage.

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