Data Engineering Manager Jobs in North Carolina
Data Engineering Manager jobs in North Carolina are in strong demand, concentrated in the technology, financial services, and life sciences sectors, with openings at every level from senior individual contributor moving into management through seasoned enterprise leaders. The Charlotte, Raleigh-Durham, and Research Triangle Park areas account for the majority of hiring activity, where employers such as Bank of America, SAS Institute, and Red Hat maintain large, established data and engineering organizations. The most sought-after specialties include cloud data platform management, data pipeline architecture, and analytics engineering leadership. Find a role that fits below and apply directly.
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Catégorie Science des données et analytique Id du poste JR-18611 CorporateParticipez à notre mission ! En tant que leader mondial dans la création de solutions climatiques confortables, durables et efficaces pour les bâtiments, les habitations et les transports, il est de notre responsabilité de placer la planète au premier plan. Pour nous, chezTrane Technologies, et à travers nos activités, y comprisTrane®etThermo KingLa durabilité n’est pas simplement une façon de faire des affaires—c’est au cœur de notre activité. Osez-vous regarder les défis mondiaux et y voir des opportunités porteuses d’impact ? Souhaitez-vous contribuer à bâtir un avenir meilleur ? Si la réponse est oui, nous vous invitons à envisager de nous rejoindre pour repousser les limites du possible en faveur d’un monde durable.
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Trane Technologies is seeking an Engineering Data & Intelligence Strategy Architect to advance the strategy, governance, and adoption of engineering data and knowledge capabilities supporting Engineering IQ, advanced analytics, and artificial intelligence.
This senior individual contributor role, with no direct reports, will connect Engineering business priorities with the data foundations, standards, and organizational capabilities necessary to make information trusted, accessible, and reusable.
Working across Engineering, Manufacturing, Procurement, Product Management, Service, and IT, the selected candidate will establish strategic priorities, guide data governance and stewardship, and partner with technical specialists to enable scalable solutions. The role will support engineering data domains including laboratory data, product lifecycle information, parts and materials, engineering documents, product configuration, and supplier data.
The position will also help advance engineering taxonomies, ontologies, knowledge graphs, and semantic capabilities that enable Engineering IQ, digital-thread initiatives, and AI-driven engineering workflows.
Responsibilities
- Develop and advance Engineering's data and intelligence strategy, aligning priorities with Engineering IQ, business objectives, and enterprise data and technology standards.
- Establish roadmaps and priorities for improving the accessibility, quality, governance, and reuse of critical engineering information.
- Partner with Engineering leaders and subject matter experts to identify business needs, define information requirements, and prioritize opportunities for analytics, data science, and AI.
- Establish and guide an Engineering data governance and stewardship operating model, including ownership, accountability, decision-making, and escalation processes.
- Partner with data owners, stewards, and technical architects to define and adopt common data definitions, classification standards, quality expectations, and ownership frameworks.
- Guide the development of engineering taxonomies, ontologies, and semantic standards supporting knowledge graphs, digital-thread capabilities, and AI initiatives.
- Collaborate with data architects, engineers, and IT teams to establish scalable, governed data foundations across engineering systems, including PLM, ERP, laboratory, and knowledge repositories.
- Identify opportunities to leverage automation and AI-assisted data engineering, classification, and stewardship to accelerate delivery and reduce costs.
- Facilitate cross-functional alignment and lead organizational change to promote adoption of common standards, processes, and data-driven ways of working.
- Partner with technical teams to identify and address data quality issues, integration challenges, and barriers to information accessibility.
- Establish measures of business value, adoption, data quality, and operational efficiency to evaluate progress and guide continuous improvement.
Ideal Qualifications and Competencies
- Bachelor's degree in engineering, data science, information systems, business, analytics, or a related field, or equivalent practical experience.
- At least eight years of experience in data and analytics, business strategy, technology, or digital transformation, including experience leading cross-functional initiatives.
- Demonstrated experience developing data and analytics strategies, roadmaps, governance frameworks, or operating models.
- Strong understanding of data management, analytics, data architecture principles, and the organizational capabilities required to support scalable data solutions.
- Experience translating business objectives into data, analytics, and technology priorities that deliver measurable value.
- Ability to lead through influence, build cross-functional partnerships, and align stakeholders in a complex, matrixed organization.
- Experience driving organizational change, stakeholder engagement, and adoption of new technologies or ways of working.
- Strong understanding of business intelligence, advanced analytics, data science, and emerging AI capabilities.
- Excellent communication, facilitation, problem-solving, and strategic planning skills.
- Ability to work independently, navigate ambiguity, and drive progress through collaboration and influence.
- Experience in manufacturing, engineering, or industrial environments is preferred.
- Familiarity with master data management, data governance, data quality, and stewardship practices is preferred.
- Familiarity with cloud data platforms, semantic models, taxonomies, ontologies, or knowledge graphs is preferred.
- Advanced degree in Data Science, Business Administration, Engineering, or a related field is preferred.
Fourchette de salaire de base annuel ou fourchette de rémunération horaire de base :
$113,600.00 - $235,500.00Type de rémunération :
SalaireAdmissible à l’incitation :
YesÉligible à la commission sur les ventes :
NoAvertissementNous nous efforçons d’offrir une rémunération compétitive pour ce poste, adaptée à divers facteurs. La rémunération effective dépendra notamment de l’ancienneté, du mérite, de la localisation géographique, du niveau d’études, de l’expérience, des exigences en matière de déplacements et de l’appartenance syndicale. Notre fourchette de rémunération est généralement basée sur la moyenne nationale du pays. Par ailleurs, les avantages peuvent varier en fonction de la région, de l’organisation de l’entreprise, de l’implication syndicale et du statut de l’employé.
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See All 17 Data Engineering Manager Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Engineering Manager Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Investment & Asset Management
What North Carolina Employers Look For
The qualifications that appear most often in data engineering manager jobs across North Carolina.
- Bachelor's or master's degree in computer science, data engineering, or a closely related field
- Proven experience leading and mentoring data engineering or analytics engineering teams
- Hands-on expertise with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience designing and scaling data pipelines, ETL workflows, and data warehouse solutions
- Proficiency with tools like Apache Spark, dbt, Airflow, or comparable data orchestration frameworks
- Strong collaboration skills working across product, analytics, and machine learning teams
Data Engineering Manager Jobs in North Carolina: Frequently Asked Questions
How do you become a data engineering manager in North Carolina?
The path to a data engineering manager role in North Carolina typically starts with several years of hands-on data engineering work, followed by a demonstrated ability to lead projects and mentor junior engineers. There is no state-issued license or board registration required for this role in North Carolina. Employers across the Research Triangle Park corridor and Charlotte consistently favor candidates who hold cloud certifications from AWS, Azure, or Google alongside a computer science or data-related degree.
Which companies hire data engineering managers in North Carolina?
Employers hiring data engineering managers in North Carolina right now include LTM Limited, Siemens, and Scout Motors, based on current listings on Migrate Mate as of November 2026. North Carolina's concentration of fintech, enterprise software, and life sciences firms means hiring activity is especially consistent in the Charlotte and Raleigh-Durham corridors.
Which North Carolina cities have the most data engineering manager jobs?
Charlotte, Raleigh, and Wendell have the most data engineering manager openings in North Carolina. Charlotte's large financial services and fintech ecosystem drives demand there, while Raleigh and Durham benefit from Research Triangle Park's dense cluster of technology, pharmaceutical, and enterprise software employers, which collectively sustain a steady pipeline of senior data leadership roles.
Are there remote data engineering manager jobs in North Carolina?
Yes, and more than most fields, since data engineering management is inherently desk-based and distributed-team work is common in the industry. About 86% of data engineering manager openings tied to North Carolina are remote or hybrid as of November 2026, reflecting how broadly technology employers in this space have adopted flexible arrangements. The parts of the role most likely to stay remote are pipeline oversight, code review, and cross-functional stakeholder meetings.
How can I get hired as a data engineering manager in North Carolina with little or no experience?
The most realistic entry path is moving into a team lead or senior data engineer role first, then transitioning into management. Large North Carolina technology and financial services employers such as SAS Institute, Bank of America, and Fidelity Investments regularly hire associate or senior data engineers where strong performers can step into leadership within a few years. Building a portfolio of end-to-end pipeline projects and earning a cloud platform certification gives candidates from adjacent roles like data analyst or software engineer a concrete edge in North Carolina hiring processes.
Where can I find and apply to data engineering manager jobs in North Carolina?
You can find and apply to data engineering manager jobs in North Carolina on Migrate Mate, which lists current North Carolina openings. Find the roles that fit your background and apply directly from the listing.
See All 17 Data Engineering Manager Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs