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Remote Lead Data Engineer Jobs in Raleigh, NC (NOW HIRING)

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance Data Strategy and Engineering * Lead data integration, harmonization, and ...

IQVIA, Inc.

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance Data Strategy and Engineering * Lead data integration, harmonization, and ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

We are looking for a Lead AI/ML Engineer to code and develop software that deploys ML models and ... The role works with large-scale computing frameworks and data analysis systems. The role is ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsLead Data Engineer JobsRemote Lead Data Engineer JobsRemote Lead Data Engineer Jobs in Raleigh, NC

Remote Lead Data Engineer information

See Raleigh, NC salary details

$41.3K

$120.3K

$175.5K

How much do remote lead data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote lead data engineer in Raleigh, NC is $120,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $131,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lead Data Engineer, and why are they important?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are the most commonly searched types of Lead Data Engineer jobs in Raleigh, NC? The most popular types of Lead Data Engineer jobs in Raleigh, NC are:
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What cities near Raleigh, NC are hiring for Remote Lead Data Engineer jobs? Cities near Raleigh, NC with the most Remote Lead Data Engineer job openings:
Remote Lead Data Engineer jobs near you
Infographic showing various Remote Lead Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,329 per year, or $57.9 per hour.
AI Solutions Architect (Remote)

AI Solutions Architect (Remote)

IQVIA

Durham, NC • On-site, Remote

$61 - $80.25/hr

Full-time

Posted 4 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

56th of 210 rated it services

Job description

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle.

Role Overview

As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value.

Key Responsibilities

AI Solution Architecture

  • Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes

  • Recommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilities

Foundation Models and Agentic AI

  • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks

  • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment

Knowledge Graphs and Semantic Systems

  • Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval

  • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance

Data Strategy and Engineering

  • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources

  • Establish data foundations that support scalable, trustworthy, and AI-ready solutions

Client Leadership and Consulting

  • Serve as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessions

  • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation

Innovation and Capabilities Development

  • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions

  • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements

What We're Looking For

  • Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.

  • Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations

  • Demonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics

  • Experience designing AI solution architectures supported by strong data architecture principles.

  • Strong programming and solution development experience, particularly in Python and modern AI frameworks.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.

  • Experience designing and deploying AI solutions in regulated environments.

  • Ability to translatecomplex business and scientific questions into structured AI solution designs and implementation plans.

  • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.

  • Excellent communication, presentation, and consulting skills.

  • Ability to engage effectively with both executive stakeholdersand highlytechnical teams.

Preferred Experience

  • Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.

  • Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.

  • ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.

  • Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.

  • Experience leading client engagements and mentoring multidisciplinary technical teams.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

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Hours and flexibility

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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