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Enterprise Data Jobs (NOW HIRING)

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 ...

East West Bank is seeking a highly experienced Enterprise Data Architect to lead the design, modernization, and governance of the bank's enterprise data architecture strategy and AI-ready data ...

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 ...

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 ...

Enterprise Data Architect Location: Remote Duration: Contract Role Summary Lead the definition and governance of enterprise data architecture, ensuring scalable, secure, reusable, and AI-ready data ...

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Enterprise Data information

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$25

$71

$91

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
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

Enterprise Data Architect

Computer Task Group, Inc

Manhattan, NY • On-site

Full-time

Posted 4 days ago


Job description

Overview

CTG is seeking to fill an Enterprise Data Architect position for our client.

Location: New York, NY

Duration: 5 months

Duties:

  • Lead the architecture and design of enterprise-scale data platforms that support secure, scalable, and high-performance data solutions.
  • Define enterprise data architecture standards, data models, and governance frameworks.
  • Collaborate with business, engineering, and technology teams to develop modern data platform strategies and integration solutions.
  • Design scalable data ingestion, transformation, storage, metadata management, and data consumption architectures.
  • Provide technical leadership and architectural guidance throughout the project lifecycle.
  • Evaluate emerging technologies and recommend innovative enterprise data solutions.
  • Ensure compliance with enterprise security, governance, and regulatory requirements.
  • Develop architecture documentation, roadmaps, and best practices for enterprise data management.

Skills:

  • Required:
    • Enterprise Data Architecture
    • Data Engineering
    • Enterprise Data Platform Design
  • Strong knowledge of cloud-based data platforms, data lakes, data warehouses, and distributed data architectures.
  • Experience with data modeling, metadata management, data governance, and enterprise integration patterns.
  • Excellent analytical, communication, and stakeholder management skills.

Nice to Have:

  • Experience with Project Nessie or equivalent transactional catalog tooling for Apache Iceberg.
  • Knowledge of medical imaging (DICOM), multi-modal clinical data integration, omics, or real-world data.
  • Familiarity with FAIR data principles for life sciences data platforms.
  • Experience with Apache Airflow, Temporal, or similar workflow orchestration platforms.
  • Previous experience delivering fixed-fee, milestone-based projects within regulated enterprise environments.

Experience:

  • 10+ years of enterprise data architecture and data engineering experience.
  • Proven success designing and implementing enterprise-scale data platforms.
  • Experience establishing enterprise architecture standards and governance practices.
  • Strong background collaborating with cross-functional technical and business teams.
  • Healthcare, life sciences, or other regulated industry experience is highly desirable.

Education:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent experience.
  • Master's degree preferred.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!


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About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

Year founded

1966

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