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Data Architecture Jobs in Raleigh, NC (NOW HIRING)

Qualifications Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in ...

Qualifications Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in ...

Data Architecture and Integration: Collaborate with IT to align data architecture with governance goals. Oversee data integration processes to ensure consistency across systems. * Stakeholder ...

New

Data Architecture and Integration: Collaborate with IT to align data architecture with governance goals. Oversee data integration processes to ensure consistency across systems. * Stakeholder ...

New

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

You will work across our medallion architecture (bronze, silver, gold) built on Apache Doris, design and maintain streaming and batch data pipelines on AWS, and build the SDK that makes our data ...

Senior Data Platform Engineer

Raleigh, NC · On-site

$103K - $140K/yr

You will work across our medallion architecture (bronze, silver, gold) built on Apache Doris, design and maintain streaming and batch data pipelines on AWS, and build the SDK that makes our data ...

Senior Data Platform Engineer

Raleigh, NC

$103K - $140K/yr

You will work across our medallion architecture (bronze, silver, gold) built on Apache Doris, design and maintain streaming and batch data pipelines on AWS, and build the SDK that makes our data ...

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

Technology|Cloud Platform|Amazon Webservices Architecture Technical Skills 2 Technical Skills 3 Technology|Oracle|PL/SQL Technical Skills 4 Technical Skills 5 Technology|ETL & Data Quality|ETL & Data ...

New

Showing results 41-60

Data Architecture information

See Raleigh, NC salary details

$10

$68

$91

How much do data architecture jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data architecture 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 the difference between Data Architecture vs Data Engineer?

AspectData ArchitectureData Engineer
Primary FocusDesigning data systems and structuresBuilding and maintaining data pipelines
Skills & CertificationsData modeling, database design, certifications like TOGAFProgramming, ETL tools, cloud platforms
Work EnvironmentStrategic planning, architecture design teamsDevelopment teams, data pipeline implementation
Industry UsageData strategy, enterprise data managementData processing, analytics infrastructure

Data Architects focus on designing the overall data systems and structures, ensuring data is organized and accessible. Data Engineers implement these designs by building data pipelines and infrastructure. Both roles collaborate closely but differ in their core responsibilities and skill sets.

What is data architecture?

Data architecture refers to the design and structure of an organization's data systems and resources. It involves defining how data is collected, stored, managed, and used across different platforms and applications. Data architects create blueprints that ensure data is organized, secure, and accessible, supporting both current and future business needs. Effective data architecture helps organizations optimize data flow, maintain data quality, and comply with regulations.

What are the key skills and qualifications needed to thrive as a data architect?

To thrive as a Data Architect, you need a solid background in database management, data modeling, and systems design, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills enable a Data Architect to translate business needs into robust data solutions. These competencies are critical for designing scalable, secure, and efficient data infrastructures that drive organizational decision-making and growth.

What are some common challenges faced by data architects when integrating data from multiple sources?

Data Architects often encounter challenges such as data inconsistency, varying data formats, and differing data quality standards when integrating information from multiple sources. Ensuring seamless data flow while maintaining data integrity and security can require extensive data mapping, transformation, and validation processes. Collaborating closely with data engineers, business analysts, and IT teams is essential to identify requirements and resolve integration issues. Successfully addressing these challenges results in a unified, reliable data environment that supports organizational analytics and decision-making.
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What job categories do people searching Data Architecture jobs in Raleigh, NC look for? The top searched job categories for Data Architecture jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Architecture jobs? Cities near Raleigh, NC with the most Data Architecture job openings:
Infographic showing various Data Architecture job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,485 per year, or $68 per hour.

Senior AI Architect

First Citizens Bank

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks


Job description

Overview

The Senior AI Architect leads the design and implementation of cutting-edge AI platforms and data systems. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications. This role collaborates closely with business and technology teams to turn ideas into working solutions, enabling faster insights, better decisions, and enterprise-wide innovation through data.


Responsibilities

Advanced AI Solutions & Engineering

  • Hands-on design and development of GenAI, LLM-based, and agentic AI solutions.
  • Architect and implement repeatable, enterprise AI patterns (e.g., RAG, agent orchestration, multimodal pipelines) with working reference implementations.
  • Build reusable AI components, templates, and accelerators to enable consistent adoption across teams.
  • Implement and optimize scalable, secure, and resilient AI pipelines, aligned with enterprise data and governance standards.
  • Lead PoC-to-production transitions, ensuring operational readiness, observability, and cost controls

AWS-Centric AI Architecture

  • Design AI and GenAI solutions using AWS-native services, including (but not limited to) Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, DynamoDB, Aurora, OpenSearch, IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architecture follows Well-Architected Framework principles.

Innovation & Applied AI

  • Lead initiatives to explore, validate, and scale emerging AI technologies.
  • Translate research and prototypes into production-ready capabilities.
  • Collaborate across teams to embed AI-driven insights and automation into business processes.
  • Evaluate and shape next-generation AI trends, including agentic systems and autonomous workflows.

Technology Leadership & Best Practices

  • Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Define and promote engineering standards that balance agility, scalability, and governance.
  • Collaborate with security, compliance, and governance partners to ensure responsible data and AI usage
  • Mentor engineers and architects in modern data and AI development practices.

Collaboration & Knowledge Sharing

  • Act as a trusted advisor for business and technology leaders on data-driven innovation.
  • Lead internal workshops and training sessions to accelerate AI adoption.
  • Represent the organization in external forums, conferences, and publications focused on data and AI innovation.

Qualifications

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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