Data Science Manager Visa Sponsorship Jobs in North Carolina
North Carolina's data science manager job market is anchored by Research Triangle Park, one of the largest research and technology hubs in the United States, drawing employers like Lenovo, SAS Institute, and Fidelity Investments. Charlotte's growing financial sector and Raleigh-Durham's concentration of life sciences and tech firms create consistent demand for senior data science talent with visa sponsorship.
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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
We Are
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
Data Science Manager Job Roles in North Carolina
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Search Data Science Manager Jobs in North CarolinaData Science Manager Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data science managers in North Carolina?
Employers with a track record of sponsoring data science manager roles in North Carolina include SAS Institute, Lenovo, Fidelity Investments, Red Hat, Cisco, and large health systems like Duke Health and UNC Health. Pharmaceutical and biotech firms concentrated around Research Triangle Park, including Syneos Health and Biogen, also regularly file H-1B visa petitions for senior data science positions.
Which visa types are most common for data science manager roles in North Carolina?
The H-1B is the most common visa category for data science managers in North Carolina, as the role consistently qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Candidates already holding L-1A status through multinational employers, or those with O-1 visa classification based on extraordinary ability, may also find pathways. Employer-sponsored green card processes, typically through the EB-2 or EB-3 categories, are common for longer-term hires.
Which cities in North Carolina have the most data science manager sponsorship jobs?
Raleigh and Durham account for the majority of data science manager sponsorship activity in North Carolina, driven by Research Triangle Park and its cluster of technology, pharmaceutical, and government-adjacent employers. Charlotte follows as a secondary hub, particularly in financial services and analytics. Chapel Hill also generates demand through university-affiliated research organizations and the health sector tied to UNC.
How to find data science manager visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify data science manager openings in North Carolina without sifting through roles that don't support international candidates. You can narrow results by location and role type to focus on Research Triangle Park employers, Charlotte's finance sector, or health system positions, all of which represent the state's primary sponsoring industries for this role.
What should international candidates know about the data science manager market in North Carolina?
North Carolina's H-1B prevailing wage requirements for data science manager roles are determined by the Department of Labor and reflect the Raleigh-Durham and Charlotte metropolitan area wage levels, which tend to be competitive but lower than coastal tech markets. The state's university pipeline, particularly NC State, Duke, and UNC, means employers are accustomed to hiring internationally educated candidates, which can work in your favor when approaching sponsorship conversations.
What is the prevailing wage for sponsored data science manager jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.