Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Technology Enterprise Data Architect
Charlotte, NC, US, 28211
Live, first seen by us 22 days ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDefine and evolve enterprise data architecture standards
Establish integration patterns for data exchange between systems and vendors
Develop data modeling guidance for the enterprise cloud data warehouse
Partner with solution architects and developers early in design
Evaluate data technologies and vendor solutions
From the employer’s posting
Define and evolve enterprise data architecture standards across applications, integrations, and cloud data environments.
Establish recommended integration patterns that support consistent and scalable data exchange between systems and vendors.
Develop and share data modeling guidance and best practices for the enterprise cloud data warehouse (e.g., Snowflake).
Partner with Solution Architects and development teams early in the design process to help ensure sound data and integration architecture.
Evaluate data technologies, tools, and vendor solutions to support enterprise modernization and long-term scalability
What you’ll bring
All qualificationsCore experience
- 7 or more years of relevant work experience
- Bachelor's degree (4 years)
- Strong understanding of enterprise data architecture and integration patterns
- Experience with cloud data warehouse platforms such as Snowflake
- Knowledge of data modeling for analytical and operational workloads
Preferred experience
- Bachelor’s degree in Computer Science, Information Systems, or related field
Qualification wording
7 or more years of relevant work experience
Bachelor’s degree (4 years)
Strong understanding of enterprise data architecture principles and integration patterns.
Experience working with cloud data warehouse platforms such as Snowflake.
Knowledge of data modeling approaches for analytical and operational workloads.
Bachelor’s degree in Computer Science, Information Systems, or related field
Education & alternatives
Minimum Qualifications - Bachelor’s degree (4 years) - 7 or more years of relevant work experience
Preferred Qualifications Bachelor’s degree in Computer Science, Information Systems, or related field Work Environment
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 14, 202622 days ago
- Recorded sightings
- 179
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 22
Similar jobs usually come down between day 7 and day 54.
At Coca-Cola Consolidated, jobs usually come down by about day 25.
From 7,965 similar postings that came down, and 12 of Coca-Cola Consolidated’s. Coming down is not always a hire.
Coca-Cola Consolidated is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 14% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Snowflake
Where the posting names them
- Establish recommended integration patterns that support consistent and scalable data exchange between systems and vendors. - Develop and share data modeling guidance and best practices for the enterprise cloud data warehouse (e.g., Snowflake). - Partner with Solution Architects and development teams early in the design process to help ensure sound data and integration architecture.
- Strong understanding of enterprise data architecture principles and integration patterns. - Experience working with cloud data warehouse platforms such as Snowflake. - Knowledge of data modeling approaches for analytical and operational workloads.
Your next step
Complete your application on conaservices.jobs2web.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
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About Coca-Cola Consolidated
- People
- About 17,000 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
- Company
- Listed as COKE.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Requisition ID: 267386
Locations: Charlotte
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Job Overview
The Technology Enterprise Data Architect is a member of the Enterprise Architecture team responsible for defining and guiding enterprise-wide data architecture standards across applications, integrations, and cloud data environments.
Working closely with data platform and analytics teams, this role collaborates on data modeling approaches, warehouse design patterns, and integration strategies to help ensure enterprise data models and architectures remain consistent, interoperable, and aligned with long-term strategic direction.
This role partners with delivery teams to establish integration patterns, data modeling standards, and architectural guardrails that help guide delivery teams and vendor solutions. The Architect partners early with Solution Architects and development teams to ensure scalable, secure, and cost-effective data designs aligned with enterprise governance and modernization strategy.
The position serves as a technical advisor across major initiatives, evaluating data technologies and vendor architectures and helping teams align solutions with enterprise standards and strategic priorities. Success in this role requires strong communication and collaboration skills, the ability to translate complex architectural concepts into clear guidance for both technical and business audiences, and a strategic mindset that balances today’s delivery needs with long-term sustainability and adaptability.
Duties & Responsibilities
- Define and evolve enterprise data architecture standards across applications, integrations, and cloud data environments.
- Establish recommended integration patterns that support consistent and scalable data exchange between systems and vendors.
- Develop and share data modeling guidance and best practices for the enterprise cloud data warehouse (e.g., Snowflake).
- Partner with Solution Architects and development teams early in the design process to help ensure sound data and integration architecture.
- Collaborate closely with data platform and analytics teams on enterprise data modeling approaches, warehouse design patterns, and data architecture standards.
- Provide architectural guidance for data design considerations across major technology initiatives.
- Evaluate data technologies, tools, and vendor solutions to support enterprise modernization and long-term scalability, including technologies that enable advanced analytics and AI capabilities.
- Communicate data architecture standards, patterns, and design guidance clearly to architects, development teams, and business stakeholders.
- Provide regular updates and maintain accountability to both internal technology teammates and business partners regarding timelines, deliverables, and architectural progress across initiatives.
- Mentor architects and developers on enterprise data architecture principles, integration practices, and emerging data technologies.
- Other duties as assigned.
Knowledge, Skills, & Abilities
- Strong understanding of enterprise data architecture principles and integration patterns.
- Experience working with cloud data warehouse platforms such as Snowflake.
- Knowledge of data modeling approaches for analytical and operational workloads.
- Familiarity with modern data architectures including ELT/ETL pipelines, data lakes, distributed data systems, and architectures that support AI and advanced analytics.
- Experience integrating enterprise applications and vendor platforms through scalable data patterns.
- Ability to evaluate emerging technologies and align them with enterprise architecture strategy.
- Strong collaboration skills across architects, development teams, and data platform teams.
- Exceptional communication skills with the ability to explain complex architectural concepts to both technical teammates and business stakeholders.
- Strategic mindset with the ability to design solutions that meet current needs while remaining adaptable to future technology and business changes.
Minimum Qualifications
- Bachelor’s degree (4 years)
- 7 or more years of relevant work experience
Preferred Qualifications
Bachelor’s degree in Computer Science, Information Systems, or related field
Work Environment
Office Environment (Charlotte, NC)
In office a minimum of 4 days a week
#LI-MP1
Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other characteristic protected by applicable law.
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- Location & working pattern
Charlotte, NC, US, 28211
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