Data Architect Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data architect market spans financial services firms in Philadelphia, healthcare systems like UPMC in Pittsburgh, and a growing corridor of tech-forward employers in between. Major sponsors include Comcast, Vanguard, and large hospital networks that routinely file H-1B visa petitions for senior data roles requiring specialized design and architecture expertise.
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Get Access To All JobsOverview
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity.
Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.
JOB SUMMARY
We're looking for a Data Engineer / Associate Commercial Data Architect—someone who thinks architecturally but isn't afraid to get into the weeds. This role will be a key member of the MDM/Data Engineering team within the US Business Analytics function. You'll work at the intersection of data engineering, business strategy, and analytics, helping translate commercial goals into scalable, well-governed data solutions on our modern cloud stack.
This is an early-career role built for someone who has developed strong foundational skills in data engineering or analytics and is ready to grow into an architectural mindset. You'll be supported by senior leaders across the MDM/Data Engineering team while taking real ownership over data design decisions that directly impact revenue, sales effectiveness, and customer outcomes.
KEY RESPONSIBILITIES
- Translate Business Needs into Data Architecture
- Partner with senior data leaders and commercial teams (sales, product strategy, market access, finance) to understand business goals and help design data models that directly support them.
-
Document solutions through BRDs, functional specs, data dictionaries, entity-relationship diagrams, and process flows—making the implicit explicit for both technical and business audiences.
-
Design for Usability, Not Just Elegance
- Develop data solutions that are clear, scalable, and aligned with KPIs.
- Support the design of a scalable business-facing data layer that translates complex data into consistent, trusted metrics—enabling self-service analytics and aligning teams around a common understanding of performance.
-
Work within Databricks and Azure to design Lakehouse patterns, medallion architectures, and structured SQL Server schemas that serve both engineering and business consumers.
-
Own Commercial Data Domains
- Assist in managing and improving datasets across customers, sales effectiveness, master data, and specialty pharmacy—ensuring consistency, lineage, and reliability.
- Help structure data for dashboards, forecasting pipelines, and performance tracking systems used by leadership and field teams.
-
Support integration and governance of pharmaceutical data sources (e.g., IQVIA Xponent, 867 data, specialty pharmacy feeds).
-
Bridge the Gap Between Technical and Business Teams
- Act as a clear communicator across data engineers, analysts, third-party vendors, and non-technical business stakeholders.
- Help validate requirements, clarify ambiguity, and confirm that what gets built answers the original question.
-
Bring an 'explain it simply' mindset to technical concepts without dumbing them down.
-
Uphold Data Quality and Governance
- Implement data standards, naming conventions, and quality controls that enable—not slow down—business innovation.
- Help identify and resolve data quality issues early in the pipeline, not at the dashboard.
PEOPLE LEADERSHIP SCOPE IF ANY
none
QUALIFICATIONS AND EDUCATION
- 3+ years of experience in data-related roles (data engineering, analytics engineering, BI, or similar).
- Bachelor’s Degree in technical area (Computer Science, Business Information Systems, Engineering or related specialty).
- Strong knowledge of data modeling, SQL, and modern data platforms (e.g., databricks, cloud data warehouses).
- Knowledge of commercial application architecture and the data and process required to support them (CRM, MDM, Reporting Platforms).
- Hands-on experience with SQL and at least one modern cloud data platform (Databricks (preferred), Azure Synapse, Snowflake, or similar).
- Exposure to ETL/ELT pipeline development and data modeling concepts (star schema, normalized models, lakehouse patterns).
- Some experience working across business stakeholders, not just in the technical stack.
- Experience with business-facing pharmaceutical data (Xponent Plantrak, 867, specialty pharmacy, marketing, finance, or customer data).
- Experience creating BRDs, functional specs, data dictionaries, or process diagrams.
- Demonstrated track record of aligning data initiatives with business outcomes.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Strong problem-solving skills and a willingness to learn the “why” behind business requests.
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.
Overview
A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity.
Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.
JOB SUMMARY
We're looking for a Data Engineer / Associate Commercial Data Architect—someone who thinks architecturally but isn't afraid to get into the weeds. This role will be a key member of the MDM/Data Engineering team within the US Business Analytics function. You'll work at the intersection of data engineering, business strategy, and analytics, helping translate commercial goals into scalable, well-governed data solutions on our modern cloud stack.
This is an early-career role built for someone who has developed strong foundational skills in data engineering or analytics and is ready to grow into an architectural mindset. You'll be supported by senior leaders across the MDM/Data Engineering team while taking real ownership over data design decisions that directly impact revenue, sales effectiveness, and customer outcomes.
KEY RESPONSIBILITIES
- Translate Business Needs into Data Architecture
- Partner with senior data leaders and commercial teams (sales, product strategy, market access, finance) to understand business goals and help design data models that directly support them.
-
Document solutions through BRDs, functional specs, data dictionaries, entity-relationship diagrams, and process flows—making the implicit explicit for both technical and business audiences.
-
Design for Usability, Not Just Elegance
- Develop data solutions that are clear, scalable, and aligned with KPIs.
- Support the design of a scalable business-facing data layer that translates complex data into consistent, trusted metrics—enabling self-service analytics and aligning teams around a common understanding of performance.
-
Work within Databricks and Azure to design Lakehouse patterns, medallion architectures, and structured SQL Server schemas that serve both engineering and business consumers.
-
Own Commercial Data Domains
- Assist in managing and improving datasets across customers, sales effectiveness, master data, and specialty pharmacy—ensuring consistency, lineage, and reliability.
- Help structure data for dashboards, forecasting pipelines, and performance tracking systems used by leadership and field teams.
-
Support integration and governance of pharmaceutical data sources (e.g., IQVIA Xponent, 867 data, specialty pharmacy feeds).
-
Bridge the Gap Between Technical and Business Teams
- Act as a clear communicator across data engineers, analysts, third-party vendors, and non-technical business stakeholders.
- Help validate requirements, clarify ambiguity, and confirm that what gets built answers the original question.
-
Bring an 'explain it simply' mindset to technical concepts without dumbing them down.
-
Uphold Data Quality and Governance
- Implement data standards, naming conventions, and quality controls that enable—not slow down—business innovation.
- Help identify and resolve data quality issues early in the pipeline, not at the dashboard.
PEOPLE LEADERSHIP SCOPE IF ANY
none
QUALIFICATIONS AND EDUCATION
- 3+ years of experience in data-related roles (data engineering, analytics engineering, BI, or similar).
- Bachelor’s Degree in technical area (Computer Science, Business Information Systems, Engineering or related specialty).
- Strong knowledge of data modeling, SQL, and modern data platforms (e.g., databricks, cloud data warehouses).
- Knowledge of commercial application architecture and the data and process required to support them (CRM, MDM, Reporting Platforms).
- Hands-on experience with SQL and at least one modern cloud data platform (Databricks (preferred), Azure Synapse, Snowflake, or similar).
- Exposure to ETL/ELT pipeline development and data modeling concepts (star schema, normalized models, lakehouse patterns).
- Some experience working across business stakeholders, not just in the technical stack.
- Experience with business-facing pharmaceutical data (Xponent Plantrak, 867, specialty pharmacy, marketing, finance, or customer data).
- Experience creating BRDs, functional specs, data dictionaries, or process diagrams.
- Demonstrated track record of aligning data initiatives with business outcomes.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Strong problem-solving skills and a willingness to learn the “why” behind business requests.
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We Respect Your Privacy
The Incyte hiring organization processes your personal data to manage your job application in order to enter into an employment relationship with you if you are the successful candidate.
During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job.
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
Please contact privacy@incyte.com if you have any questions or concerns or would like to exercise your rights.
Data Architect Job Roles in Pennsylvania
See all 37+ Data Architect Jobs in Pennsylvania
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Search Data Architect Jobs in PennsylvaniaData Architect Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data architects in Pennsylvania?
Pennsylvania's most active H-1B sponsors for data architect roles include Comcast, Vanguard, UPMC, Independence Blue Cross, and consulting firms like Deloitte and Accenture with large Philadelphia offices. These employers regularly file petitions for senior data positions requiring expertise in cloud platforms, data modeling, and enterprise architecture. Federal contractors based in the greater Philadelphia area also hire data architects with sponsorship.
Which visa types are most common for data architect roles in Pennsylvania?
The H-1B is the most common visa for data architects in Pennsylvania, given the role's degree requirements and specialized nature. Candidates with advanced degrees from U.S. universities may have an advantage in the H-1B selection process. L-1B visas are also used by multinational firms transferring data architects with proprietary systems knowledge. Some candidates with exceptional industry recognition may qualify for the O-1A.
Which cities in Pennsylvania have the most data architect sponsorship jobs?
Philadelphia accounts for the largest share of data architect sponsorship activity in Pennsylvania, driven by its concentration of financial services, insurance, and healthcare companies. Pittsburgh is a strong secondary market, anchored by UPMC, Carnegie Mellon University's technology ecosystem, and a growing number of AI-focused firms. Harrisburg sees more limited activity, primarily through state government contractors and regional health systems.
How to find data architect visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data architect openings in Pennsylvania without sorting through roles that don't sponsor. You can narrow results by location, so Philadelphia and Pittsburgh listings are easy to isolate. Since data architect roles are senior positions, Migrate Mate's focus on verified sponsorship employers is particularly useful for avoiding postings that list sponsorship without actually providing it.
Are there any state-specific considerations for data architect sponsorship in Pennsylvania?
Pennsylvania's strong university presence, particularly Carnegie Mellon, Penn, and Drexel, feeds a steady pipeline of international graduates into data and engineering roles, which means employers in the state are generally familiar with sponsorship processes. Prevailing wage requirements for data architects are determined by the Philadelphia or Pittsburgh metropolitan area wage surveys, so job location within Pennsylvania affects the wage level an employer must certify on the Labor Condition Application.
What is the prevailing wage for sponsored data architect jobs in Pennsylvania?
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.