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Enterprise Data Jobs (NOW HIRING)

SAIC

Enterprise Data Architect

Chantilly, VA · Remote

$160K - $200K/yr

ORA_ON_SITE Description SAIC is seeking an Enterprise Data Architect to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC's Prime Program, Landmark AOS.

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Commerce Bank

Enterprise Data Architect

Saint Louis, MO · On-site +1

$105K - $123K/yr

Analyze data and analytics security requirements and solutions, and partner with leadership to ensure that enterprise business data and analytics assets are protected. * Perform other duties as ...

SAIC

Enterprise Data Architect

Chantilly, VA · On-site

$160K - $200K/yr

As the Enterprise Data Architect , you will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) cloud-based data framework services across multiple ...

New

Koantek

Enterprise Data Architect

Waukesha, WI · On-site

Enterprise Data Architect Primary Purpose * Responsiblefor designing and architecting data/MDM solutions, analyzing,implementing, and deploying these solutions both on-premises and in thecloud. By ...

Kynite

Enterprise Data Architect

OR

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Koantek

Enterprise Data Architect

Milwaukee, WI

Enterprise Data Architect Primary Purpose Responsible for designing and architecting data/MDM solutions, analyzing, implementing, and deploying these solutions both on-premises and in the cloud. By ...

Kynite

Enterprise Data Architect

OR · On-site +1

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role ...

Franklin Templeton

Enterprise Data Advisor

Baltimore, MD · On-site

$110K - $130K/yr

Franklin Templeton is seeking an Enterprise Data Advisor (EDA) to serve as the primary bridge between the lines of business and the Enterprise Data Office, establishing a shared understanding of data ...

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Enterprise Data information

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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

Enterprise Data Architect

SAIC

Chantilly, VA • Remote

$160K - $200K/yr

Full-time

Posted 2 days ago

New

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description

Job ID: 2614462

Location: Chantilly, VA, US

Date Posted: 2026-07-10

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an Enterprise Data Architect to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC’s Prime Program, Landmark AOS. Landmark AOS is a large SETA program, supporting the NRO’s Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle. 

As the Enterprise Data Architect, you will provide specialized engineering expertise supporting the acquisition of multi-intelligence (multi-INT) cloud-based data framework services across multiple security enclaves. SAIC’s client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. The qualified candidate will assist and advise Government managers to develop and maintain a comprehensive data architecture to support strategic decision-making and align with mission objectives. 

Job Responsibilities to include:

  • Architect advanced cross-program solutions that automate data management and curation; performing solution engineering, integrated architecture development, and operational integration of multi-INT tools and data that directly shape mission outcomes across the full breadth of the National Security enterprise.
  • Shape future system planning to meet urgent National Security priorities by providing oversight of development contractors to ensure alignment with mission needs.
  • Provide specialized systems engineering and operations expertise supporting definition, development and integration of multi-intelligence (multi-INT) software capabilities. 
  • Gather and decompose requirements, guiding stakeholders to best-practices in building modern data solutions predominantly using the AWS technology stack
  • Drive technical and architectural direction of data evolution roadmap that includes data ingestion, storage, reporting, MLS solutions, RBAC/ABAC access controls, security markings, and data science analytics 
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design
  • Develop briefings and documentation material including developing technical roadmaps and the acquisition strategies/documentation to implement them
  • Support SAFe agile process evolution across Government teams, development contractors, user engagement teams, and stakeholders

Qualifications

Required Education and Experience

  • Bachelor degree in business, engineering, science, or related discipline and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience. Relevant experience to be substituted in lieu of degree.
  • Active Top Secret Clearance with CI Polygraph
  • 3+ years of experience in data modeling and/or data architecture
  • Strong engineering background with knowledge of cloud software architectures, data management practices and IC/DOD ontologies 
  • Experience supporting system architecture, design or development in an AWS/C2S environment
  • Domain knowledge in Agile software development practices 
  • Demonstrated capability and success working in team environments
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment
  • Good working knowledge of MS Office applications

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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