J-1 Visa Database Architect Jobs
Database Architect roles in the U.S. are accessible to international professionals through J-1 visa sponsorship, typically under the Trainee or Research Scholar program category. Your host employer partners with a State Department-designated sponsor organization, which issues your DS-2019 and manages program compliance throughout your exchange.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for experienced engineers to build and scale the database infrastructure that powers both Claude's product offerings and Anthropic's research initiatives. As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research. This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.
Responsibilities
- Drive the technical direction for database solutions used across Product and Research
- Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
- Build and scale database systems through 100x+ growth while maintaining reliability and performance
- Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
- Develop database infrastructure that serves both product and research workloads with different performance characteristics
- Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
- Optimize database performance, reliability, and cost efficiency at massive scale
- Make critical build vs. buy decisions for database technologies
You Might Be a Good Fit If You
- Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Possess deep expertise in distributed database architectures and OLTP systems at scale
- Have successfully scaled databases through massive growth at high-growth companies
- Can balance the speed of a startup environment with the reliability needs of production systems
- Excel at technical leadership and cross-functional collaboration
- Are passionate about building the data layer that enables next-generation AI capabilities
Strong Candidates May Also Have
- Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
- Experience with Redis, Temporal, vector databases, or async job processing frameworks
- Experience building multi-cloud or hybrid cloud database solutions
- Knowledge of database orchestration and automation at scale
- Background at companies known for database excellence
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
We're looking for experienced engineers to build and scale the database infrastructure that powers both Claude's product offerings and Anthropic's research initiatives. As a Software Engineer on the Databases team, you will architect and operate database systems that both enable millions of users to interact with Claude and support cutting-edge AI research. This is a unique opportunity to tackle database challenges at unprecedented scale. You'll develop the database strategy for Anthropic, design systems that handle billions of API requests, create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models, and build the reliable data layer that accelerates research experimentation.
Responsibilities
- Drive the technical direction for database solutions used across Product and Research
- Design and implement database solutions that scale to support millions of users across Claude's product ecosystem
- Build and scale database systems through 100x+ growth while maintaining reliability and performance
- Architect data storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
- Develop database infrastructure that serves both product and research workloads with different performance characteristics
- Partner with product and research teams to understand data requirements and build infrastructure that accelerates innovation
- Optimize database performance, reliability, and cost efficiency at massive scale
- Make critical build vs. buy decisions for database technologies
You Might Be a Good Fit If You
- Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and scaling database systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Possess deep expertise in distributed database architectures and OLTP systems at scale
- Have successfully scaled databases through massive growth at high-growth companies
- Can balance the speed of a startup environment with the reliability needs of production systems
- Excel at technical leadership and cross-functional collaboration
- Are passionate about building the data layer that enables next-generation AI capabilities
Strong Candidates May Also Have
- Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
- Experience with Redis, Temporal, vector databases, or async job processing frameworks
- Experience building multi-cloud or hybrid cloud database solutions
- Knowledge of database orchestration and automation at scale
- Background at companies known for database excellence
Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure/databases expertise from any domain.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all 6+ Database Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Database Architect roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Database Architect
Verify your DS-2019 category eligibility early
Database Architect roles typically qualify under the Trainee category for professionals with fewer than five years of experience, or Research Scholar for those with advanced academic or research backgrounds. Confirm your category before applying so you target host employers whose program structures match.
Document your database specialization with precision
Gather transcripts, portfolio samples, and reference letters that speak directly to your expertise in data modeling, schema design, or cloud architecture. Designated sponsors evaluate whether your background justifies the training plan, so vague credentials slow the DS-2019 issuance process significantly.
Target host employers with existing sponsor relationships
Search for Database Architect openings at organizations that have previously hosted J-1 trainees, since they already understand training plan requirements and know how to coordinate with a designated sponsor. Use Migrate Mate to filter roles at employers with J-1-friendly hiring histories.
Map your role to O*NET occupation codes
Designated sponsors and host employers use O*NET classifications to validate that your proposed training activities align with the Database Architect occupation. Pull the O*NET profile for database architects before your training plan is drafted to preempt category disputes.
Negotiate training plan scope before accepting an offer
Your DS-2019 is tied to a specific training plan, not just a job title. Confirm with your host employer that your day-to-day responsibilities, such as schema migration, query optimization, or data warehouse design, will be documented accurately, since scope changes after issuance require sponsor approval.
Check the two-year home residency requirement upfront
Some J-1 Database Architect placements are subject to the two-year home-country physical presence requirement, particularly if your home government or a U.S. agency funded your exchange. Verify your J-1 visa annotation and DS-2019 notes before making long-term U.S. career plans.
Database Architect jobs are hiring across the US. Find yours.
Find Database Architect JobsDatabase Architect J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Database Architect role?
Most Database Architect positions fall under the Trainee category if you have a relevant degree plus up to five years of professional experience, or the Research Scholar category if your role involves academic or applied research at a university or research institution. The Specialist category may apply for highly experienced practitioners brought in to share expertise in a specific technical area. Your designated sponsor confirms the correct category based on your background and the host employer's program structure.
Who actually sponsors the J-1 visa for a Database Architect position?
The J-1 visa sponsor is a U.S. Department of State-designated organization, such as IIE, Cultural Vistas, or AIPT, not the hiring employer. The employer acts as your host organization and funds your position, but the designated sponsor issues your DS-2019, approves your training plan, and monitors your compliance throughout the program. Understanding this distinction matters because you need both a willing host employer and a designated sponsor to proceed.
How detailed does a J-1 training plan need to be for a technical role like database architecture?
Designated sponsors require a structured Training/Internship Placement Plan, called a T/IPP or DS-7002, that breaks your experience into phases with specific skills, objectives, and supervision methods listed for each. For Database Architect roles, this means itemizing activities such as data modeling, ETL pipeline design, performance tuning, and stakeholder collaboration rather than listing a generic job description. Vague or job-description-style plans are the most common reason designated sponsors delay or decline to issue a DS-2019 for technical positions.
How can I find U.S. employers open to hosting J-1 Database Architects?
Migrate Mate lets you search for Database Architect roles at U.S. employers that align with J-1 visa sponsorship pathways, so you can identify host opportunities without manually screening every posting for immigration compatibility. Because J-1 sponsorship depends on both employer willingness and a designated sponsor relationship, finding employers already familiar with the exchange visitor process shortens your timeline significantly.
Does the two-year home residency requirement affect Database Architect J-1 participants?
It can. The two-year home-country physical presence requirement applies to J-1 participants whose exchange was financed by their home government or a U.S. government agency, or whose home country's skill list includes their occupation. Database architecture and related IT specializations appear on some countries' skill lists maintained by the State Department. Check your DS-2019 and J-1 visa stamp for a 212(e) notation, which confirms the requirement applies, before planning any subsequent U.S. visa applications.
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