Solution Engineer Visa Sponsorship Jobs in Delaware
Solution engineer roles in Delaware draw from the state's financial services and technology sectors, with employers like JPMorgan Chase, Incyte, and DuPont de Nemours concentrated in Wilmington and the northern corridor. Companies in Delaware's established corporate base regularly seek international talent for pre-sales and technical consulting positions that require both engineering depth and client-facing skills.
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The Senior Principal Cloud Data Engineer is a senior‑level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This role provides deep technical leadership across cloud data architecture, platform engineering, and enablement, ensuring that enterprise data solutions are scalable, secure, and consistent with M&T’s data and technology strategies.
The role partners closely with Enterprise Architecture and the Data organization to help define and drive the enterprise data strategy from a cloud platform perspective. In addition to influencing strategy, this role is accountable for owning and engineering the associated Azure‑based data platform capabilities that enable analytics, reporting, and data‑driven solutions across the enterprise.
The position operates primarily upstream of data solution delivery, focusing on platform standards, reusable capabilities, and architectural alignment while remaining grounded in hands‑on engineering and real‑world implementation.
Primary Responsibilities:
Enterprise Cloud Data Platform Leadership
- Define and influence the architecture and engineering standards for enterprise cloud data platforms in Azure.
- Serve as a senior technical authority for cloud data platform decisions, including trade‑offs across scalability, security, performance, and cost.
- Provide technical leadership for the evolution of shared data capabilities used by analytics, reporting, and application teams.
Data Strategy Partnership
- Partner closely with Enterprise Architecture and the Data organization to: Help shape and refine the enterprise data strategy, Translate data strategy into actionable cloud platform capabilities, Ensure cloud data platform designs align with enterprise data models, governance standards, and long‑term architectural direction.
- Act as a technical bridge between data strategy and engineering execution.
Cloud Data Platform Engineering (Azure)
- Own the design and build‑out of core Azure‑based data platform capabilities, including but not limited to: Data ingestion and integration patterns, Enterprise data storage and lakehouse architectures, Data processing and transformation platforms, Analytics and consumption enablement patterns.
- Establish opinionated, reusable platform components and reference implementations rather than one‑off data solutions.
- Ensure data platforms are built with automation, resilience, and security by design.
Standards, Patterns & Reference Architectures
- Develop and maintain approved reference architectures and technical patterns for cloud‑based data solutions.
- Define standards for: Data pipelines and integration approaches, Storage, partitioning, and lifecycle management, Access control, encryption, and data protection, Monitoring, observability, and operational support.
- Ensure patterns are adoption‑ready and consumable by delivery teams.
Engineering Enablement
- Reduce delivery friction for data engineers and analytics teams by providing: Clear technical guidance, Reusable templates and frameworks, Platform‑embedded controls and defaults.
- Promote consistency and reuse across data solutions while enabling appropriate flexibility for use‑case‑driven needs.
- Influence adoption through engineering leadership rather than mandate.
Hands‑On Technical Contribution
- Remain actively engaged in: Architecture and design reviews, Proofs of concept and technical validations, Platform pilots and early‑stage data initiatives.
- Validate that cloud data standards and platforms are practical, scalable, and operationally viable.
- Provide technical mentorship to senior cloud and data engineers.
Cross‑Functional Collaboration
- Work in close partnership with: Enterprise and solution architecture, Data engineering, analytics, and governance teams, Cloud and infrastructure engineering, Security and risk management teams.
- Communicate data platform decisions and standards clearly to engineering leadership and senior technology stakeholders.
- Ensure alignment between cloud platform capabilities and enterprise data objectives.
Scope of Responsibilities:
- Senior individual contributor role with enterprise‑level impact.
- Direct accountability for the design and build‑out of shared cloud data platform capabilities in Azure.
- No direct people‑management or budget ownership.
- Success measured by:
- Adoption of enterprise data platform capabilities
- Reduction in bespoke or inconsistent data solutions
- Improved scalability and reliability of data workloads
- Alignment between data strategy and platform execution
Education and Experience Required:
- Combined minimum of 10 years’ higher education and/or experience in systems design, management, and/or architecture
- Thorough understanding of the system development and infrastructure lifecycle and architecture, vendor best practices, IT Service Management, and systems design
Education and Experience Preferred:
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Significant experience in cloud data engineering or platform engineering roles
- Demonstrated expertise in:
- Azure data services and architectures
- Cloud‑based data integration and processing
- Platform‑engineering approaches for data solutions
- Infrastructure as Code and automation
- Experience operating in large‑scale or regulated enterprise environments
- Background in enterprise data platforms, analytics enablement, or data modernization
- Familiarity with data governance, data quality, and operational data management practices
Location
Wilmington, Delaware, United States of America
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $153,700.00 - $256,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Overview:
The Senior Principal Cloud Data Engineer is a senior‑level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This role provides deep technical leadership across cloud data architecture, platform engineering, and enablement, ensuring that enterprise data solutions are scalable, secure, and consistent with M&T’s data and technology strategies.
The role partners closely with Enterprise Architecture and the Data organization to help define and drive the enterprise data strategy from a cloud platform perspective. In addition to influencing strategy, this role is accountable for owning and engineering the associated Azure‑based data platform capabilities that enable analytics, reporting, and data‑driven solutions across the enterprise.
The position operates primarily upstream of data solution delivery, focusing on platform standards, reusable capabilities, and architectural alignment while remaining grounded in hands‑on engineering and real‑world implementation.
Primary Responsibilities:
Enterprise Cloud Data Platform Leadership
- Define and influence the architecture and engineering standards for enterprise cloud data platforms in Azure.
- Serve as a senior technical authority for cloud data platform decisions, including trade‑offs across scalability, security, performance, and cost.
- Provide technical leadership for the evolution of shared data capabilities used by analytics, reporting, and application teams.
Data Strategy Partnership
- Partner closely with Enterprise Architecture and the Data organization to: Help shape and refine the enterprise data strategy, Translate data strategy into actionable cloud platform capabilities, Ensure cloud data platform designs align with enterprise data models, governance standards, and long‑term architectural direction.
- Act as a technical bridge between data strategy and engineering execution.
Cloud Data Platform Engineering (Azure)
- Own the design and build‑out of core Azure‑based data platform capabilities, including but not limited to: Data ingestion and integration patterns, Enterprise data storage and lakehouse architectures, Data processing and transformation platforms, Analytics and consumption enablement patterns.
- Establish opinionated, reusable platform components and reference implementations rather than one‑off data solutions.
- Ensure data platforms are built with automation, resilience, and security by design.
Standards, Patterns & Reference Architectures
- Develop and maintain approved reference architectures and technical patterns for cloud‑based data solutions.
- Define standards for: Data pipelines and integration approaches, Storage, partitioning, and lifecycle management, Access control, encryption, and data protection, Monitoring, observability, and operational support.
- Ensure patterns are adoption‑ready and consumable by delivery teams.
Engineering Enablement
- Reduce delivery friction for data engineers and analytics teams by providing: Clear technical guidance, Reusable templates and frameworks, Platform‑embedded controls and defaults.
- Promote consistency and reuse across data solutions while enabling appropriate flexibility for use‑case‑driven needs.
- Influence adoption through engineering leadership rather than mandate.
Hands‑On Technical Contribution
- Remain actively engaged in: Architecture and design reviews, Proofs of concept and technical validations, Platform pilots and early‑stage data initiatives.
- Validate that cloud data standards and platforms are practical, scalable, and operationally viable.
- Provide technical mentorship to senior cloud and data engineers.
Cross‑Functional Collaboration
- Work in close partnership with: Enterprise and solution architecture, Data engineering, analytics, and governance teams, Cloud and infrastructure engineering, Security and risk management teams.
- Communicate data platform decisions and standards clearly to engineering leadership and senior technology stakeholders.
- Ensure alignment between cloud platform capabilities and enterprise data objectives.
Scope of Responsibilities:
- Senior individual contributor role with enterprise‑level impact.
- Direct accountability for the design and build‑out of shared cloud data platform capabilities in Azure.
- No direct people‑management or budget ownership.
- Success measured by:
- Adoption of enterprise data platform capabilities
- Reduction in bespoke or inconsistent data solutions
- Improved scalability and reliability of data workloads
- Alignment between data strategy and platform execution
Education and Experience Required:
- Combined minimum of 10 years’ higher education and/or experience in systems design, management, and/or architecture
- Thorough understanding of the system development and infrastructure lifecycle and architecture, vendor best practices, IT Service Management, and systems design
Education and Experience Preferred:
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
- Significant experience in cloud data engineering or platform engineering roles
- Demonstrated expertise in:
- Azure data services and architectures
- Cloud‑based data integration and processing
- Platform‑engineering approaches for data solutions
- Infrastructure as Code and automation
- Experience operating in large‑scale or regulated enterprise environments
- Background in enterprise data platforms, analytics enablement, or data modernization
- Familiarity with data governance, data quality, and operational data management practices
Location
Wilmington, Delaware, United States of America
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $153,700.00 - $256,100.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.
Solution Engineer Job Roles in Delaware
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Search Solution Engineer Jobs in DelawareSolution Engineer Jobs in Delaware: Frequently Asked Questions
Which companies in Delaware sponsor visas for solution engineers?
Wilmington-area employers in financial technology and enterprise software are the most active sponsors for solution engineer roles in Delaware. Companies like JPMorgan Chase, Incyte, and DuPont have established immigration programs and a track record of H-1B visa filings. Smaller technology firms and consulting companies operating in Delaware's corporate corridor also sponsor, though their volume varies significantly by hiring cycle and business need.
Which visa types are most common for solution engineers in Delaware?
The H-1B is the most common visa category for solution engineers in Delaware, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related technical field. Candidates already holding L-1B intracompany transferee status or an O-1A for extraordinary ability may also find pathways through employers with multinational operations, which are well-represented in Delaware's corporate-heavy economy.
How to find solution engineer visa sponsorship jobs in Delaware?
Migrate Mate filters solution engineer roles by state, letting you focus specifically on Delaware employers who are actively open to visa sponsorship rather than sorting through listings that never address it. Because solution engineer positions in Delaware span financial services, life sciences, and enterprise tech, using Migrate Mate's role-specific search helps surface opportunities across those sectors without wading through unrelated postings.
Which cities in Delaware have the most solution engineer sponsorship jobs?
Wilmington accounts for the large majority of solution engineer sponsorship activity in Delaware, driven by its concentration of financial institutions, corporate headquarters, and technology vendors serving those industries. Newark, home to the University of Delaware, has a smaller but growing tech presence. Dover and the southern part of the state see limited sponsorship activity for this role type.
Are there any state-specific considerations for solution engineers pursuing sponsorship in Delaware?
Delaware's status as a corporate registration hub means many companies are legally incorporated there but operate their technical teams elsewhere, so confirming the actual work location matters when evaluating a sponsorship offer. The University of Delaware and Delaware State University produce engineering graduates who sometimes stay in-state, creating a local talent pipeline that can make sponsorship more competitive at entry level. Mid-level and senior solution engineers with enterprise software or fintech experience tend to see stronger sponsorship interest from Wilmington-based employers.
What is the prevailing wage for sponsored solution engineer jobs in Delaware?
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.