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Data Architect Jobs in Raleigh, NC (NOW HIRING)

Kasmo Global

Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Data Architect The Data Architect is responsible for defining the structure, standards, and architectural guardrails that govern service and configuration data within the Service-Aware Operating ...

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

Data Architect At Pentair, you will work alongside passionate problem-solvers who are committed to the future of our planet. We put our mission into practice, helping the world sustainably move ...

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

We have an opportunity for a Data Architect to join our Apex, NC team. You will work globally to unify and elevate the data strategy across our IoT edgetocloud product ecosystem. In this role, you ...

Mindlance

ServiceNow Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

The Data Architect defines the target-state data architecture, design principles, and governance patterns that those operational processes enforce. Service & Configuration Data Architecture Define ...

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

We have an opportunity for a Data Architect to join our Apex, NC team. You will work globally to unify and elevate the data strategy across our IoT edge-to-cloud product ecosystem. In this role, you ...

Keylent Inc

Data Architect

Cary, NC · On-site

$65 - $83.50/hr

Data Architect Collaborate with senior leadership to define the organization's data strategy, aligning it with business objectives and grow targets. Identify key data driven opportunities and ...

Cognizant

Snowflake Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

They are seeking a Lead Data Migration Architect with expertise in Snowflake to lead large-scale migration programs from legacy platforms and define target-state architectures and strategies.

KBI BioPharma

SAP Enterprise Data Architect

Durham, NC · On-site

JOB SUMMARY The SAP Enterprise Data Architect role provides expertise in SAP S/4HANA data architecture, enterprise data modeling, migration strategy, and data governance. This is a key role in ...

Zortech Solutions

Data Architect-ADF

Raleigh, NC · On-site

$62 - $79.75/hr

Knowledge of data warehousing and business intelligence architecture is must * Understanding of python /pyspark / data bricks is a plus * Experience working in Agile environment (Scrum, Lean, Kanban ...

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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 Jul 5, 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.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data and develop effective data strategies. 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 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.

What does a data architect actually do?

A data architect designs and manages the overall structure of an organization’s data systems, including databases, data warehouses, and data pipelines. They develop data models, establish data standards, and ensure data quality and security, often using tools like SQL, cloud platforms, and data modeling software. Their role is essential for enabling efficient data access and supporting analytics and business decision-making.

What are Data Architects?

Data Architects are IT professionals responsible for designing, creating, and managing an organization's data infrastructure. They develop blueprints for data management systems to integrate, centralize, and maintain data efficiently and securely. Data Architects ensure that data is accessible, reliable, and meets the needs of the business while adhering to industry standards and compliance requirements. Their work often involves collaborating with database administrators, data engineers, and business stakeholders.

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.

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.

How much do AI data architects make?

AI data architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, data modeling, and cloud platforms can command higher salaries. Certifications and expertise in tools like SQL, Python, and data management systems also influence compensation.

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.

More about Data Architect jobs
What are the most commonly searched types of Data Architect jobs in Raleigh, NC? The most popular types of Data Architect jobs in Raleigh, NC are:
What are popular job titles related to Data Architect jobs in Raleigh, NC? For Data Architect jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Architect jobs in Raleigh, NC look for? The top searched job categories for Data Architect jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Architect jobs? Cities near Raleigh, NC with the most Data Architect job openings:
Data Architect jobs near you
Infographic showing various Data Architect job openings in Raleigh, NC as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,485 per year, or $68 per hour.

Data Architect

Kasmo Global

Raleigh, NC • On-site

$62 - $79.75/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Architect

The Data Architect is responsible for defining the structure, standards, and architectural guardrails that govern service and configuration data within the Service-Aware Operating Model. This role establishes how data should be modeled, related, controlled, and consumed so that service-aware workflows, analytics, and automation are built on a coherent and durable foundation. The Data Architect defines the target-state data architecture, design principles, and governance patterns that those operational processes enforce.

Service & Configuration Data Architecture

  • Define the target-state architecture for service and configuration data, including class design, relationship patterns, ownership structures, and lifecycle alignment.
  • Establish modeling principles that support service-aware visibility, operational usefulness, and long-term maintainability.
  • Guide architectural decisions that reduce ambiguity and improve consistency across the service data fabric.

Data Standards, Governance & Design Guardrails

  • Create architectural guardrails for how service and configuration data should be structured, governed, and evolved.
  • Define standards that prevent model drift, uncontrolled variance, and low-confidence design decisions.
  • Partner with governance and engineering teams to translate standards into enforceable processes and platform controls.

Reconciliation & Source-of-Truth Architecture

  • Design the principles and patterns used to reconcile data from multiple authoritative and contributing systems.
  • Define rules for ownership, precedence, survivorship, and appropriate use of source data within the model.
  • Support architectural decisions that improve confidence in how data is merged, maintained, and trusted over time.

Lifecycle, Ownership & Certification Design

  • Establish architectural patterns for lifecycle progression, service ownership, certification, and stewardship workflows.
  • Ensure the data architecture supports service onboarding, validation, and ongoing operational accountability.
  • Create the structural conditions necessary for scalable, repeatable data governance.

Cross-Functional Data Enablement

  • Work with service mapping, platform engineering, integration, and governance stakeholders to ensure the data model supports downstream operational and analytical use cases.
  • Resolve architectural questions that affect service visibility, dependency understanding, and automation readiness.

Basic Qualifications: 5+ years' experience in data architecture, CMDB architecture, or enterprise information modeling roles. Deep understanding of service and configuration data models, lifecycle governance, and architectural standards. Strong ability to define target-state structures, governance patterns, and reconciliation approaches in complex environments. Proven ability to translate business and operational needs into durable data architecture decisions. Must be onsite at the client in one of the following locations: Raleigh, NC; Charlotte, NC; Wilson, NC; Richmond, VA; or Atlanta, GA

Preferred: Bachelor's Degree preferred Experience supporting common service data models and service-centric or Service-Aware operating models. Familiarity with discovery, monitoring, asset, and operational data sources that contribute to service understanding. Background in highly regulated or operationally complex environments. Relevant data, architecture, or platform certifications.

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