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Data Architect Jobs in Raleigh, NC (NOW HIRING)

NetApp

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

Job Summary NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that ...

Infosys

Data Bricks AI/ML Technical Architect

Raleigh, NC · On-site

$62 - $79.75/hr

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

US IT Solutions Inc

Data Architect(UML exp)_RTP

Raleigh, NC · On-site

$62 - $79.75/hr

Data modeling and creating data flow diagrams * Qualifications * Understanding Frameworks * Ability to use a variety of design tools * Knowledge of UML * Requirements analysis and management ...

Accenture

SAP Data Migration Manager/Architect

Raleigh, NC · On-site

$94K - $266K/yr

Architect end-to-end SAP data migration strategies for S/4HANA transformation programs, including greenfield, brownfield, and selective data transition (SDT) scenarios. * Define migration methodology ...

Info Way Solutions

WS Database Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Info Way Solutions is seeking a WS Database Architect to lead database management and optimization ... The role involves designing scalable AWS cloud architectures and collaborating with data teams to ...

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions are scalable, secure, reusable, and aligned with enterprise ...

Keylent Inc

Tech Lead TECHM-JOB-24396

Raleigh, NC · On-site

Keylent Inc is seeking a Data Architect with expert knowledge in data technology architecture. The role involves leading data engineering practices, data warehousing, and integration, while also ...

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

Background in parallel computing, server architecture, or datacenter design. * An excitement and curiosity about the future of accelerated computing and AI * Expertise in data analysis and ...

Nvidia

Senior Architect, Data Center Modeling

Durham, NC

$65 - $87/hr

Background in parallel computing, server architecture, or datacenter design. An excitement and curiosity about the future of accelerated computing and AI Expertise in data analysis and visualization ...

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All JobsData Architect JobsData Architect Jobs in Raleigh, NC

Data Architect information

See Raleigh, NC salary details

$10

$68

$91

How much do data architect jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data architect in Raleigh, NC is $68.02, according to ZipRecruiter salary data. Most workers in this role earn between $59.57 and $76.63 per hour, depending on experience, location, and employer.

What is a data architect?

A data architect handles the creation and management of data systems for a business, school, health care facility, government agency, or other organization. As a data architect, your job duties include the design of data models, the development of data storage systems, and overall data management. Your job requires experience with various software and computer programming languages, systems, and utilities, such as SQL, Oracle, and BusinessObjects, Hadoop, big data systems, data warehousing, and ETL (extract, transform, load). Additional qualifications for this career include excellent problem-solving skills.

How does a data architect typically collaborate with other IT and business teams during a data infrastructure project?

Data Architects play a central role in bridging technical teams and business stakeholders. They work closely with database administrators, data engineers, and software developers to design robust and scalable data solutions. Additionally, Data Architects often consult with business analysts and project managers to ensure that the data infrastructure aligns with organizational goals and regulatory requirements. Regular meetings and clear documentation are common practices to facilitate effective communication and ensure project success.

What are the key skills and qualifications needed to thrive as a data architect, and why are they important?

To thrive as a Data Architect, you need a strong background in data modeling, database design, and systems architecture, typically supported by a degree in computer science or a related field. Expertise with tools and technologies such as SQL, NoSQL, ETL processes, data warehousing platforms, and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and project management skills help you translate business needs into scalable technical solutions and collaborate across teams. These skills ensure robust, efficient data infrastructure that supports accurate analytics and informed decision-making for the organization.

What is the difference between Data Architect vs Data Engineer?

AspectData ArchitectData Engineer
Required CredentialsBachelor's or Master’s in Computer Science, certifications like TOGAF or AWS Certified Data AnalyticsBachelor's in Computer Science, certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics
Work EnvironmentDesigns data systems, collaborates with stakeholders, plans data infrastructureBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data-driven companies for data processing and pipeline development

While both roles work closely with data systems, a Data Architect focuses on designing the overall data infrastructure and strategy, whereas a Data Engineer implements and maintains the data pipelines and systems based on that architecture.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation.

Is a data architect in demand?

Yes, data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They typically require expertise in database design, data modeling, and tools like SQL and cloud platforms, making their skills highly sought after across various industries.

What do you do as a data architect?

A data architect designs, creates, and manages an organization’s data infrastructure and architecture to ensure data is accessible, reliable, and secure. They develop data models, establish data standards, and work with database management systems and tools to support data integration and analytics. Strong knowledge of data warehousing, SQL, and data governance is essential for this role.
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For Data Architect jobs in Raleigh, NC, the most frequently searched job titles are:

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Data Architect jobs near you
Infographic showing various Data Architect job openings in Raleigh, NC as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, and 22% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $141,485 per year, or $68 per hour.

Data Product Architect

NetApp

Morrisville, NC • On-site

$145K - $155K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 500 rated business services

Job description

Job Summary
NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision-making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).
You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision-making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.
At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.
Key Responsibilities
Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.
Construct, enhance, and assess data pipelines to produce reliable, production-ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.
Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision-making processes.
Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross-functional teams to deliver effective data-driven outcomes.
Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.
Job Requirements
Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.
At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise-level reporting.
Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.
At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.
Outstanding written and verbal communication and presentation skills.
Strong analytical thinking and problem-solving capabilities.
Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.
Demonstrated ability to work seamlessly within cross-functional teams and to influence stakeholders.
Preferred Certifications:
  • Snowflake: Snowflake SnowPro Core Certification
  • TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification
  • Power BI: Microsoft Certified: Power BI Data Analyst Associate
  • Additional relevant industry certifications are highly welcomed.
Education

Bachelor's degree in computer science or management information systems.

Minimum of five years of experience is required; 5 to 8 years of experience is preferred. including three or more years in Business Analytics or relevant domains.

 

Compensation:
The target salary range for this position is $145,000-$155,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

What NetApp employees say

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Hours and flexibility

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US

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