Data Engineering Manager Jobs in North Carolina
Data Engineering Manager jobs in North Carolina are open across Maiden, Charlotte, and Raleigh and other North Carolina metros, with employers like Apple, Affirm, and Arch Capital hiring at every experience level. Find a role that fits below and apply directly.
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INTRODUCTION
Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. In 2025, Sealed Air generated $5.4 billion in sales and has approximately 16,100 employees who serve customers in 119 countries/territories.
ROLE
The Senior Manager, Analytics Engineering leads a centralized analytics engineering function responsible for delivering scalable, business-ready data solutions across multiple commercial domains. This role operates within a hybrid model - leveraging enterprise data infrastructure while enabling rapid, business-driven development within Microsoft Fabric. As a hands-on leader, this role is accountable for:
- Owning analytics data architecture and standards
- Managing delivery across a shared service model
- Leading a distributed team of Analytics Engineers
- Personally contributing to complex data and analytics solutions
The role is critical in enabling Insights Managers to move quickly from concept to reliable, production-ready analytics. This role is ideally located in Charlotte, NC however we are open to remote candidates as well.
Key Responsibilities:
Data Architecture & Technical Ownership
- Own the design and evolution of data pipelines, transformations, and data models
- Define standards for scalable and reusable datasets
- Ensure business logic is consistently structured and reusable across reporting and analytics
- Establish a clear and maintainable “last-mile” data layer for business consumption
Delivery Ownership & Backlog Management
- Own and manage a centralized analytics engineering backlog across multiple domains
- Make prioritization and tradeoff decisions across competing business needs, balancing speed, scalability, and impact
- Establish clear intake, prioritization, and delivery processes
- Ensure consistent, high-quality, and timely execution
Shared Service Model Leadership
- Operate a global shared analytics engineering function supporting multiple business domains simultaneously
- Allocate resources effectively across competing priorities
- Act as the primary escalation point for prioritization and delivery tradeoffs
- Balance speed, scalability, and data governance in all decisions
Rapid Development & Productionization
- Oversee the conversion of Proof of Concepts into scalable, production-ready data solutions
- Enable fast iteration while progressively improving structure, performance, and reusability
- Standardize and scale business logic across datasets and reporting assets
Hands-On Technical Leadership (Player-Coach)
- Personally contribute to complex data transformations, pipelines, and models
- Support debugging, optimization, and resolution of critical technical challenges
- Step in to accelerate delivery for high-priority or high-complexity work
Team Leadership
- Lead and develop a team of Analytics Engineers operating in a distributed delivery model
- Set priorities, manage capacity, and drive accountability for delivery outcomes
- Coach team members on technical execution, data design, and delivery best practices
- Build a disciplined, high-performing execution engine
Cross-Functional Partnership
- Partner with IT to align with enterprise data architecture, standards, and governance
- Operate within enterprise guardrails while maintaining flexibility and speed
- Collaborate with Insights Managers to translate business needs into scalable data solutions
- Determine when solutions should remain business-owned vs. transition to IT for enterprise scale
Data Quality, Governance & DataOps
- Ensure accuracy, consistency, and reliability of all data assets
- Establish validation, monitoring, and quality assurance processes
- Implement DataOps best practices including version control, structured deployment, and reusable design
- Maintain clear documentation across data pipelines, datasets, and processes
BASIC QUALIFICATIONS
- Bachelor’s degree in computer science, engineering, business, finance, or related field
- 8–12+ years of experience in analytics engineering, data engineering, or business intelligence
- Proven experience leading teams in a global or distributed delivery model
- Deep expertise in SQL, ETL/ELT design, and data modeling
- Strong hands-on experience with Microsoft Fabric (Lakehouse, notebooks, pipelines, semantic models) or similar modern data platforms
- Demonstrated ability to work with ambiguous, incomplete, or evolving data and business requirements
- Proven ability to manage multiple stakeholders, priorities, and competing deadlines
- Strong communication skills, with the ability to translate technical concepts into business context
- Experience supporting commercial, sales, or operational analytics
- Experience working in hybrid IT + business-owned data environments
What Success Looks Like
- High-quality, scalable data solutions delivered consistently across multiple domains
- Strong prioritization and effective backlog management
- Rapid delivery of business value without sacrificing long-term scalability
- Clear, maintainable, and reusable data architecture
- Effective partnership with IT without creating bottlenecks
- Insights teams enabled with reliable, business-ready datasets
What This Role Is / Is Not
This role is:
- A hands-on technical leadership role
- Accountable for both delivery execution and data architecture
- Responsible for prioritization, tradeoffs, and outcomes
This role is not:
- A purely managerial or coordination role
- A centralized IT data engineering role
- Limited to oversight without direct technical contribution
PAY TRANSPARENCY
Base Salary Compensation: $93,100 - 160,655
The range disclosed complies with applicable state and local pay transparency laws. Offers within this range will be determined by considering relevant factors including education, experience, and internal alignment. This position may also be eligible for annual performance bonuses and other incentive programs. Sealed Air offers a competitive benefits package that includes health, dental, vision, 401(k), paid time off, and other benefits designed to promote well-being.
Requisition id: 54959
Relocation: No
Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.
Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at globalta@sealedair.com.
WHY WORK AT SEALED AIR?
It is our responsibility to leverage what we have to affect positive and meaningful change for our communities and planet using Sealed Air’s global resources and expertise.
Corporate sustainability - it’s about improving the lives of people around the world by addressing pressing needs in the communities where we and our customers operate.
Customer Success - meeting our customers' needs. At Sealed Air it’s more than a goal, it’s an integral part of our business practices, our innovative solutions, and our values.
Leaving our communities better than we found them through dedication of time, talent and resources.
See All 26 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
- Apple11

- Affirm1

- Arch Capital1

- Charles Schwab1

- Databricks1

Top Industries Hiring
- Electronics & Hardware12
- Banking & Financial Services2
- Consulting & Professional Services2
- Healthcare & Medical Services2
- Insurance2
What North Carolina Employers Look For
The qualifications that appear most often in data engineering manager jobs across North Carolina.
- 5 or more years of experience in data engineering with at least 2 years in a management role
- Proficiency with cloud platforms such as AWS, GCP, or Azure and their managed data services
- Hands-on experience building and maintaining batch and streaming data pipelines at production scale
- Familiarity with modern data stack tools including dbt, Airflow, Spark, Kafka, or equivalent
- Experience with data warehousing solutions such as Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, engineering, or a related technical field
Data Engineering Manager Jobs in North Carolina: Frequently Asked Questions
How many data engineering manager jobs are there in North Carolina?
There are 26+ data engineering manager openings in North Carolina on Migrate Mate as of June 2026, with the most roles in Maiden, Charlotte, and Raleigh. New positions post regularly as employers across North Carolina hire.
Which North Carolina cities have the most data engineering manager jobs?
Maiden, Charlotte, and Raleigh have the most data engineering manager openings in North Carolina right now, with additional roles spread across smaller metros statewide.
Which companies hire data engineering managers in North Carolina?
Employers hiring data engineering managers in North Carolina include Apple, Affirm, and Arch Capital, based on current listings on Migrate Mate as of June 2026.
Are there remote data engineering manager jobs in North Carolina?
Yes. About 35% of data engineering manager openings tied to North Carolina are remote or hybrid as of June 2026. The rest are on-site roles based in North Carolina metros.
How do I apply for data engineering manager jobs in North Carolina?
You can apply to data engineering manager jobs in North Carolina directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred North Carolina location, then apply to each one that fits.
See All 26 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