Senior Principal Data Engineer Green Card Jobs
Senior Principal Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no qualified U.S. worker is available. At this seniority level, most sponsoring employers file under EB-2, given the advanced-degree and specialized credentials the role demands.
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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.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Principal Data Engineer
Document your advanced degree equivalency early
If your data engineering credentials come from a combination of a bachelor's degree and progressive experience rather than a master's, get a formal credential evaluation before applying. PERM filings under EB-2 require documented proof of advanced-degree equivalency, and gaps here delay I-140 adjudication.
Target employers with active PERM filing history
Search the OFLC Wage Search to verify whether a prospective employer has filed PERM applications for data engineering roles before. Companies with recent approved certifications have established internal processes, which shortens the time between your offer and an active green card filing.
Clarify the sponsorship timeline before accepting an offer
Ask the hiring team at what point they initiate PERM, whether they cover attorney fees, and how long prior hires waited between offer and I-140 approval. At the Senior Principal level, the job duties description in the PERM filing must match your actual role precisely or risk an audit.
Use Migrate Mate to filter roles by green card sponsorship
Search for Senior Principal Data Engineer positions on Migrate Mate, which surfaces employers with documented EB-2 and EB-3 sponsorship history. This cuts out the guesswork of asking whether a company sponsors, letting you focus outreach on employers already familiar with the PERM process.
Align your O*NET occupation code with your job duties
The O*NET profile for data engineering roles defines the duties USCIS and DOL expect to see in a PERM application. If your actual responsibilities diverge significantly from the standard profile, work with your employer's attorney to document the specialized scope before the prevailing wage determination is filed.
Understand how EB-2 and EB-3 backlogs affect your country
For most countries outside India and China, EB-3 Skilled Worker and EB-2 priority dates move with relatively short waits. Verify your country's current cut-off in the USCIS Visa Bulletin before deciding which preference category to pursue with your employer.
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Find Senior Principal Data Engineer JobsSenior Principal Data Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Senior Principal Data Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Both categories are available. EB-2 applies when the role requires an advanced degree or when you have a bachelor's degree plus at least five years of progressive experience that USCIS recognizes as equivalent. EB-3 covers the same role when the employer documents it as a skilled position requiring at least two years of training. Most Senior Principal Data Engineer PERM filings target EB-2 given the seniority and degree norms in the field.
How is green card sponsorship through PERM different from H-1B for this role?
H-1B is a temporary nonimmigrant status renewed in two- or three-year increments with no path to permanence on its own, and it is subject to an annual lottery cap. PERM-based EB-2 and EB-3 sponsorship leads directly to lawful permanent residency with no lottery. The process is slower, typically two to four years from PERM filing through green card approval for most nationalities, but the outcome is permanent status rather than a visa tied to a single employer.
What does the PERM labor certification process involve for a Senior Principal Data Engineer?
Your employer files an ETA Form 9089 with DOL attesting that they conducted a good-faith recruitment effort and found no minimally qualified U.S. worker available for the position. For a Senior Principal Data Engineer, the job requirements in the PERM must reflect actual day-to-day duties and cannot be written to fit only your credentials. After DOL certifies the application, your employer files an I-140 immigrant petition with USCIS on your behalf.
How do I find Senior Principal Data Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter Senior Principal Data Engineer roles by employers with active EB-2 and EB-3 sponsorship history, so you can identify companies already familiar with PERM before you apply. Reaching out to employers who have completed prior PERM filings significantly reduces the negotiation required to get sponsorship written into your offer letter.
Can my employer start the PERM process before I finish my H-1B or OPT period?
Yes, and starting early is advisable. PERM can be initiated while you hold any valid work authorization, including H-1B or OPT. Filing PERM does not affect your current status, and there is no requirement that you be in the role for a minimum period before the employer starts. An approved I-140 also lets you extend H-1B status beyond the six-year cap under AC21 portability rules.
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