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Enterprise Data Jobs (NOW HIRING)

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and ...

U.S. Bank

Enterprise Data Architect

Chicago, IL · On-site

S. Bank is seeking an experienced Enterprise Data Architect to define, lead, and evolve our enterprise-wide data architecture strategy. As a member of the Enterprise Architecture team, this role ...

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 ...

Wilsonart

Enterprise Data Architect

Temple, TX

Enterprise Data Architect JOB SUMMARY As an Enterprise Data Architect, you are responsible for defining how data should be structured, integrated, and delivered across the organization to support ...

Wilsonart

Enterprise Data Architect

Temple, TX

Enterprise Data Architect JOB SUMMARY As an Enterprise Data Architect, you are responsible for defining how data should be structured, integrated, and delivered across the organization to support ...

Wilsonart

Enterprise Data Architect

Temple, TX

Enterprise Data Architect JOB SUMMARY As an Enterprise Data Architect, you are responsible for defining how data should be structured, integrated, and delivered across the organization to support ...

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 ...

US Bank

Enterprise Data Architect

Charlotte, NC

Key Responsibilities Define and drive enterprise data architecturestrategy * Establish target-statedata platformarchitecturesand standardsaligned to business priorities. * Translate business ...

US Bank

Enterprise Data Architect

Hopkins, MN

Key Responsibilities Define and drive enterprise data architecturestrategy * Establish target-statedata platformarchitecturesand standardsaligned to business priorities. * Translate business ...

US Bank

Enterprise Data Architect

Englewood, CO

Key Responsibilities Define and drive enterprise data architecturestrategy * Establish target-statedata platformarchitecturesand standardsaligned to business priorities. * Translate business ...

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Enterprise Data information

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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.
Enterprise Data Strategist

Enterprise Data Strategist

Sibitalent Corp

Jersey City, NJ • On-site

Other

Posted 9 days ago

Job description

Job Title:  Enterprise Data Strategist

Location:  Jersey City, NJ – Hybrid

Duration: 6+ months C2H Contract

·         Interview Process: In-person / Face-to-Face Interview Required

 

JOB DESCRIPTION:

Seeking an Enterprise Data Strategy & Architecture specialist. This role will help shape and advance the firm’s enterprise data strategy, partnering across business and technology teams to define target-state data capabilities, governance practices, and architectural standards. The successful candidate will bring a strong foundation in data strategy and data architecture that will help drive initiatives spanning data modeling, integration, quality, governance, and modernization of enterprise data platforms.

 

Key Focus Areas

·          

·         Strategy Over Architecture: The team is seeking a candidate with a demonstrated Data Strategy background who can look horizontally across the enterprise to map out a future path forward. A pure data architect will not be successful here; however, foundational data architecture experience is highly valuable for context and alignment.

·         Core Pillars: Drive enterprise initiatives spanning data modeling, integration, quality, governance, and data platform modernization.

Main Areas of Responsibility

  • Define and help execute the enterprise data strategy in alignment with business priorities, regulatory expectations, and long-term technology goals.
  • Guide modernization efforts for enterprise data platforms, including cloud-aligned architectures, scalable integration approaches, and reusable data services.
  • Evaluate current-state data ecosystems and recommend improvements to architecture, tooling, operating models, and governance processes.
  • Support the translation of business requirements into enterprise data designs, roadmaps, and implementation guidance for delivery teams.
  • Develop and maintain enterprise data architecture standards, principles, and target-state blueprints across domains, platforms, and integration patterns.
  • Partner with business stakeholders, data owners, application teams, and technology leaders to identify data capabilities, gaps, and opportunities for improvement.
  • Lead data architecture activities including conceptual, logical, and physical data modeling, data flow design, lineage considerations, and information lifecycle planning.
  • Establish and promote best practices for data governance, metadata management, master/reference data, data quality, and data security in collaboration with control and compliance partners.

Requirements & Qualifications-

·         Education: BSc or MSc degree in Computer Science, Information Systems, Data Management, or a related discipline.

·         Data Strategy & Architecture: Strong experience in enterprise data strategy, data architecture, and information management within complex enterprise organizational environments.

·         Technical Deep Dive: Robust understanding of data architecture disciplines including enterprise data modeling, canonical models, data integration, metadata management, and data lifecycle design.

·         Governance & Platforms: Experience defining and implementing data governance frameworks, data quality controls, and stewardship models. Strong knowledge of relational/non-relational data platforms and data warehousing concepts.

·         Integration: Experience with data integration approaches, APIs, event-driven patterns, ETL/ELT processes, and distributed data architectures.

·         Soft Skills: Positive, collaborative attitude with excellent written and verbal communication skills; ability to influence stakeholders across business and technology functions.

Nice to Have Attributes

·         Experience within financial services or other highly regulated industries.

·         Familiarity with enterprise architecture frameworks and data governance tools.

·         Experience supporting cloud data modernization, data platforms, or enterprise analytics transformation initiatives.

Apply