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Data Architecture Jobs in Raleigh, NC (NOW HIRING)

Data Architect

Apex, NC · On-site

$110K - $205K/yr

Strong background in data architecture, systems design, or IoT solution architecture. * Handson experience with edgetocloud data flows, timeseries data, and distributed systems. * Deep knowledge of ...

Responsibilities - Design and implement thorough data architecture strategies - Lead the development of data models - Achieve compliance with data governance policies - Collaborate with business ...

Creates the Data Architecture and Data Models for multiple key Operational and Analytics initiatives. Uses Customer Data Strategy and Master Data Management (MDM) tools (Reltio, Verato, and Senzing ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

You will work from architecture to implementation: evaluating and selecting platforms, designing data models and pipelines, and building the systems that collect, contextualize, and deliver data to ...

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Data Architecture information

See Raleigh, NC salary details

$10

$68

$91

How much do data architecture jobs pay per hour?

As of Jul 15, 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.

Is data architect in demand?

Data architects are in high demand due to the increasing need for organizations to manage and analyze large volumes of data. They design and implement data systems, often requiring skills in database management, cloud platforms, and data modeling, making their expertise valuable across many industries.

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 much money do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.

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, and why are they important?

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.

What does a data architect do?

A data architect designs and manages an organization’s data infrastructure, including data models, storage, and integration systems. They develop strategies for data flow, ensure data quality, and often work with tools like SQL, cloud platforms, and data modeling software to support business needs.
What are the most commonly searched types of Data Architecture jobs in Raleigh, NC? The most popular types of Data Architecture jobs in Raleigh, NC are:
What are popular job titles related to Data Architecture jobs in Raleigh, NC? For Data Architecture jobs in Raleigh, NC, the most frequently searched job titles are:
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:
Vice President, Data Architecture

Vice President, Data Architecture

Fidelity Investments

Durham, NC

$61.50 - $79.25/hr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.


The Role

Fidelity is actively seeking an experienced architect to lead a team of data architects in the Asset Management Technology's architecture team. At Fidelity, architects are leaders in technology playing a significant role in driving all aspects of technology planning and execution. Fidelity's Asset Management Technology group is seeking a visionary leader to helm our data architecture practice, guiding technical strategy across Research, Portfolio Management, and Trading functions supporting $7 trillion in assets. You will set the architectural direction for AI-ready platforms, establish governance frameworks that enable consistent excellence, and build a high-performing team of architects positioned to tackle the most consequential data challenges in financial services.

  • Define and evangelize data architecture strategy across Asset Management Technology, establishing technical direction that aligns with business objectives and drives competitive advantage while balancing innovation with operational excellence.
  • Lead architecture governance and standards for data platforms, establishing design patterns, best practices, and guardrails that enable teams to deliver consistent, scalable solutions while maintaining architectural coherence across the organization. Position data platforms to be AI-ready with appropriate semantic and data access layers.
  • Drive cross-functional data initiatives as a senior technical leader, partnering with product management, engineering leadership, and business stakeholders to translate complex business requirements into actionable architectural roadmaps and delivery plans.
  • Build and develop high-performing data architecture teams through hiring, onboarding, career development, and succession planning-creating clear growth paths from mid-level to senior architect roles and fostering a culture of technical excellence and continuous learning.
  • Architect and deliver high-impact solutions for the most complex and critical data challenges, leading by example through hands-on design, prototyping, and code contributions that set quality standards and demonstrate technical excellence to the team.
  • Design and optimize enterprise-scale data platforms encompassing ETL/ELT pipelines, data access layers, and polyglot persistence strategies for transactional, operational, and analytical workloads using modern cloud-native patterns and Fidelity-preferred technology stacks.
  • Establish reference architectures and accelerators that encode proven patterns for common use cases, reducing time to market for teams while ensuring consistency in security, observability, performance, and operational resilience.
  • Lead technical deep dives and design reviews for critical initiatives, providing architecture expertise that unblocks teams, validates approaches, and ensures solutions meet non-functional requirements, including scalability, security, compliance, and maintainability.

The Expertise and Skills You Bring

  • Bachelor's degree in Computer Science, Information Technology, or a related technical field required; master's degree or MBA preferred. Advanced degrees or certifications in Data Science, Machine Learning, or Systems Engineering add differentiation.
  • 5 years leading, mentoring, and developing technical teams, with experience building teams from the ground up or transforming underperforming teams into high-performing organizations, demonstrated through successful hiring, strong retention, and career progression of team members to senior or principal roles.
  • Proven ability to mentor and develop architects and senior engineers, with a track record of growing individuals from mid-level to staff or principal levels through coaching, design review feedback, exposure to complex problems, and advocacy for career advancement.
  • Executive-level communication skills, with the ability to present to senior audiences, translate complex technical concepts into business language, articulate risk and reward trade-offs, and build consensus among stakeholders with competing priorities.
  • Expert-level proficiency in SQL, PL/SQL, and modern data programming languages, including Python, Scala, and Java, with the ability to review code, conduct technical interviews, and contribute to critical implementations when needed while maintaining technical credibility through periodic hands-on work on complex problems.
  • Deep experience with modern data engineering toolchains, including Spark, Kafka, Airflow, dbt, Snowflake, Databricks, and cloud-native services such as AWS Glue, Lambda, Step Functions, and Kinesis, with an understanding of their operational characteristics, failure modes, and cost implications at enterprise scale.
  • Expertise in DataOps and continuous delivery practices for data platforms, including infrastructure as code using Terraform or CloudFormation, CI/CD pipelines for data workflows, automated testing strategies for data quality, schema validation, and lineage, and observability instrumentation.

The Team

Fidelity's Asset Management Technology group supports the investment management business. The Architecture team provides the technical vision and leadership for key initiatives and helps deliver complex, critical solutions across Research, Portfolio Management, and Trading functions. Come join us in driving the technology and success of a world-class technology team.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $140,000-285,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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