Data Architect Visa Sponsorship Jobs in New York
New York is one of the most active markets for data architect visa sponsorship, driven by demand from financial services firms like JPMorgan Chase and Citigroup, tech companies concentrated in Manhattan and Brooklyn, and major healthcare and media organizations. Most roles require deep experience with cloud platforms, data modeling, and enterprise architecture.
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Get Access To All JobsJob Description
Requisition ID
94705
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Senior Associate - Data Architect
We are seeking an energetic and passionate Senior Data Architect to design and execute our company’s modern data management strategy. As a key member of the Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.
What You’ll Do:
- Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses
- Design operational and analytical data models
- Develop data management frameworks and standards to ensure data integrity, quality, and security.
- Work closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.
- Create and maintain inventory and designs of current state data capabilities
- Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.
- Demonstrate experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.
- Identify and frame opportunities for consolidation/simplification of legacy technologies, data stores, and applications.
- Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective
- Enforce data governance policies and procedures as part of the data model
- Stay up to date with the latest industry trends and technologies in data management.
- Identify opportunities for improvement and innovation within the existing data infrastructure.
- Ensure data solutions comply with relevant data privacy and security regulations.
- Implement data security measures to protect sensitive information.
What You’ll Bring:
- 5+ years of hands-on experience as a Data Modeler for large-scale enterprise solutions, with a strong focus on agile practices.
- Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
- Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.
- Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.
- Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake
- Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.
- Extensive hands-on experience in creating STMs
- Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.
- Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques.
- Expertise in overall solution architecture for data platforms built on the cloud.
- Strong experience in data integration, data processing, data streaming, and message queuing techniques
- Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) processes.
- Detail-oriented with strong analytical, problem-solving, and organizational skills.
- Excellent communication skills, capable of effectively conveying complex concepts to both technical and business teams.
Desired Skills:
- Solid understanding of the insurance, wealth management or financial services industry
- Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable.
- Knowledge of machine learning pipelines and frameworks is a plus.
- Experience supporting AI solutions with data product strategy and enabling solutions.
- Bachelor’s degree in computer science or an Engineering discipline
- Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
- Certification in delivery methodologies such as Scaled Agile a plus.
Pay Transparency
Salary Range: $124,000-$177,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94705
Job Description
Requisition ID
94705
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Location Designation: Hybrid - 3 days per week
Senior Associate - Data Architect
We are seeking an energetic and passionate Senior Data Architect to design and execute our company’s modern data management strategy. As a key member of the Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.
What You’ll Do:
- Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses
- Design operational and analytical data models
- Develop data management frameworks and standards to ensure data integrity, quality, and security.
- Work closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.
- Create and maintain inventory and designs of current state data capabilities
- Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.
- Demonstrate experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.
- Identify and frame opportunities for consolidation/simplification of legacy technologies, data stores, and applications.
- Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective
- Enforce data governance policies and procedures as part of the data model
- Stay up to date with the latest industry trends and technologies in data management.
- Identify opportunities for improvement and innovation within the existing data infrastructure.
- Ensure data solutions comply with relevant data privacy and security regulations.
- Implement data security measures to protect sensitive information.
What You’ll Bring:
- 5+ years of hands-on experience as a Data Modeler for large-scale enterprise solutions, with a strong focus on agile practices.
- Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
- Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.
- Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.
- Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake
- Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.
- Extensive hands-on experience in creating STMs
- Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.
- Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques.
- Expertise in overall solution architecture for data platforms built on the cloud.
- Strong experience in data integration, data processing, data streaming, and message queuing techniques
- Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) processes.
- Detail-oriented with strong analytical, problem-solving, and organizational skills.
- Excellent communication skills, capable of effectively conveying complex concepts to both technical and business teams.
Desired Skills:
- Solid understanding of the insurance, wealth management or financial services industry
- Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable.
- Knowledge of machine learning pipelines and frameworks is a plus.
- Experience supporting AI solutions with data product strategy and enabling solutions.
- Bachelor’s degree in computer science or an Engineering discipline
- Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
- Certification in delivery methodologies such as Scaled Agile a plus.
Pay Transparency
Salary Range: $124,000-$177,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94705
Data Architect Job Roles in New York
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Search Data Architect Jobs in New YorkData Architect Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data architects in New York?
Financial institutions are among the most active sponsors for data architects in New York, including JPMorgan Chase, Goldman Sachs, Citigroup, and MetLife. Large tech employers like Google, Amazon, and IBM also sponsor regularly through their New York offices. Healthcare organizations such as Memorial Sloan Kettering and NYU Langone have hired sponsored data architects as their data infrastructure needs have grown.
Which visa types are most common for data architect roles in New York?
The H-1B visa is the most common visa for data architect roles in New York, as the position typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates with extraordinary ability may pursue the O-1A. Intracompany transferees from multinational firms may qualify for the L-1A or L-1B depending on their specific role and seniority.
Which cities in New York have the most data architect sponsorship jobs?
Manhattan accounts for the majority of data architect sponsorship activity in New York, concentrated in Midtown and the Financial District where major banks, consulting firms, and technology companies are headquartered. Brooklyn has grown as a secondary hub, particularly in the tech sector. Roles also appear in Buffalo and Albany, primarily within healthcare systems, state government contractors, and insurance companies operating upstate.
How to find data architect visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, and you can filter directly by state and job title to surface data architect positions in New York. The platform focuses on employers with a documented history of sponsoring work visas, which saves time compared to filtering through general job listings. Setting up a profile helps match you to relevant New York openings as they are posted.
Are there any state-specific considerations for data architect sponsorship in New York?
New York's prevailing wage requirements under the H-1B program are set at higher thresholds than most other states, reflecting the high cost of living in the New York City metro area. Employers must certify wages meet Department of Labor standards before filing. New York also has a strong pipeline of international talent from Columbia University, NYU, and Cornell Tech, meaning competition for sponsored roles at top firms can be significant.
What is the prevailing wage for sponsored data architect jobs in New York?
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.