E-3 Visa Data Architect Jobs
Data Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, information systems, or a related field. Australian nationals can pursue these positions without entering a lottery, with two-year renewable status and no annual cap limiting your options.
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Get Access To All JobsJOB DESCRIPTION
You are ready to revolutionize your career and the world of technology with an iconic company. Now is the time to take the reins on this exciting opportunity.
As a Data Architect III at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you serve as a seasoned member of a team by incorporating leading best practices and collaborating with other architects to develop high-quality architecture solutions for various software applications and platforms. You are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Creates secure and high-quality production code using PySpark, Spark SQL, and Scala within AWS Glue jobs and Databricks workflows; embeds data quality checks, schema enforcement, and lineage capture; and integrates with AWS Lake Formation access controls for consistent runtime authorization.
- Produces data architecture and design artifacts for complex applications, including canonical data models. Data Platform and Pipeline design for both Data Publishing and Consumption Platforms.
- Evaluates data architecture designs and provides feedback grounded in platform capabilities, benchmarking Spark query plans, storage formats (Parquet vs. Delta), and AWS Glue job types (Spark vs. Ray where applicable), while validating Lake Formation tag-based access control (LF-TBAC) and cross-account sharing patterns.
- Represents the team in architectural governance bodies by standardizing data product interfaces, defining data contracts, endorsing schema evolution policies via Delta Lake (merge, optimize, vacuum), and establishing controls for PII/PCI using Lake Formation column-level permissions and row-level filters.
- Leads the data architecture team to evaluate and adopt modern capabilities such as Multi-Catalog and Federated Data Catalog using Open Table format such as Iceberg.
- Designs secure multi-tenant data lake architectures using AWS Lake Formation with tag-based policies, data masking strategies, and federated identity integration; implements cross-account and cross-region data sharing patterns aligned to enterprise security policies.
- Works with Product, Engineering on the solution design, effectively translates business requirements into technical design documents and pivots into timelines.
- Establishes cost governance and optimization by selecting proper storage tiers, using appropriate computer clusters for data consumption with standard fine-grained data authorization.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Strong knowledge of data architecture development with hands-on expertise designing Data Lake such as lakehouse solutions on Databricks or AWS Lake Formation.
- Hands-on practical experience in system design, application development, testing, and operational stability for distributed data processing using PySpark, Spark SQL, and Scala on Databricks and AWS Glue, including monitoring with CloudWatch and platform-native metrics.
- Proficient in coding in Python, Scala, and SQL, with production-grade developments.
- Overall knowledge of the Software Development Life Cycle with emphasis on data product lifecycle: requirement capture, model design, pipeline implementation, automated testing, deployment via CI/CD (e.g., Git-based workflows), and ongoing optimization.
- Solid understanding of agile methodologies including Continuous Integration/Delivery, application resiliency through retry logic, idempotency, and fault tolerance patterns, and security-by-design aligned to Lake Formation policies.
- Demonstrated knowledge across Cloud disciplines, including architecting distributed data platforms on AWS and applying governed access patterns through Unity Catalog and Lake Formation.
- Exposure to cloud technologies with practical experience on AWS services relevant to data platforms, including S3, IAM, KMS, CloudWatch, Step Functions, and integration with Lake Formation.
- Proven ability to implement data security and privacy controls: column/row-level security via Lake Formation, data masking/tokenization patterns, and audit trails leveraging Unity Catalog and Cloud-native logging.
- Competence in Data pipeline orchestration and workflow management, with automated dependency management and SLA tracking.
Preferred qualifications, capabilities, and skills
- Experience with Open Table format such as Delta or Iceberg.
- Familiarity with Great Expectations or similar data quality frameworks integrated into Databricks or AWS Glue pipelines.
- Experience with Infra-as-Code for data platforms using Terraform or CloudFormation to provision Lake Formation permissions, Glue resources, and Databricks assets.
- Experience using Natural Lang to SQL solutions such as DataBricks Genie or Snowflake Cortex.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science, and machine learning. We have a strong partnership with Technology, which provides cutting-edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
JOB DESCRIPTION
You are ready to revolutionize your career and the world of technology with an iconic company. Now is the time to take the reins on this exciting opportunity.
As a Data Architect III at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you serve as a seasoned member of a team by incorporating leading best practices and collaborating with other architects to develop high-quality architecture solutions for various software applications and platforms. You are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Creates secure and high-quality production code using PySpark, Spark SQL, and Scala within AWS Glue jobs and Databricks workflows; embeds data quality checks, schema enforcement, and lineage capture; and integrates with AWS Lake Formation access controls for consistent runtime authorization.
- Produces data architecture and design artifacts for complex applications, including canonical data models. Data Platform and Pipeline design for both Data Publishing and Consumption Platforms.
- Evaluates data architecture designs and provides feedback grounded in platform capabilities, benchmarking Spark query plans, storage formats (Parquet vs. Delta), and AWS Glue job types (Spark vs. Ray where applicable), while validating Lake Formation tag-based access control (LF-TBAC) and cross-account sharing patterns.
- Represents the team in architectural governance bodies by standardizing data product interfaces, defining data contracts, endorsing schema evolution policies via Delta Lake (merge, optimize, vacuum), and establishing controls for PII/PCI using Lake Formation column-level permissions and row-level filters.
- Leads the data architecture team to evaluate and adopt modern capabilities such as Multi-Catalog and Federated Data Catalog using Open Table format such as Iceberg.
- Designs secure multi-tenant data lake architectures using AWS Lake Formation with tag-based policies, data masking strategies, and federated identity integration; implements cross-account and cross-region data sharing patterns aligned to enterprise security policies.
- Works with Product, Engineering on the solution design, effectively translates business requirements into technical design documents and pivots into timelines.
- Establishes cost governance and optimization by selecting proper storage tiers, using appropriate computer clusters for data consumption with standard fine-grained data authorization.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Strong knowledge of data architecture development with hands-on expertise designing Data Lake such as lakehouse solutions on Databricks or AWS Lake Formation.
- Hands-on practical experience in system design, application development, testing, and operational stability for distributed data processing using PySpark, Spark SQL, and Scala on Databricks and AWS Glue, including monitoring with CloudWatch and platform-native metrics.
- Proficient in coding in Python, Scala, and SQL, with production-grade developments.
- Overall knowledge of the Software Development Life Cycle with emphasis on data product lifecycle: requirement capture, model design, pipeline implementation, automated testing, deployment via CI/CD (e.g., Git-based workflows), and ongoing optimization.
- Solid understanding of agile methodologies including Continuous Integration/Delivery, application resiliency through retry logic, idempotency, and fault tolerance patterns, and security-by-design aligned to Lake Formation policies.
- Demonstrated knowledge across Cloud disciplines, including architecting distributed data platforms on AWS and applying governed access patterns through Unity Catalog and Lake Formation.
- Exposure to cloud technologies with practical experience on AWS services relevant to data platforms, including S3, IAM, KMS, CloudWatch, Step Functions, and integration with Lake Formation.
- Proven ability to implement data security and privacy controls: column/row-level security via Lake Formation, data masking/tokenization patterns, and audit trails leveraging Unity Catalog and Cloud-native logging.
- Competence in Data pipeline orchestration and workflow management, with automated dependency management and SLA tracking.
Preferred qualifications, capabilities, and skills
- Experience with Open Table format such as Delta or Iceberg.
- Familiarity with Great Expectations or similar data quality frameworks integrated into Databricks or AWS Glue pipelines.
- Experience with Infra-as-Code for data platforms using Terraform or CloudFormation to provision Lake Formation permissions, Glue resources, and Databricks assets.
- Experience using Natural Lang to SQL solutions such as DataBricks Genie or Snowflake Cortex.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science, and machine learning. We have a strong partnership with Technology, which provides cutting-edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
See all 538+ Data Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Architect roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Architect
Align your degree to the role
Consular officers assess whether your bachelor's degree field matches the Data Architect job description. A degree in computer science, information systems, or software engineering maps cleanly. A business or general IT degree needs a cover letter explaining the direct field relationship.
Target employers with existing LCA history
Search the DOL's Foreign Labor Certification disclosure data to identify companies that have previously certified LCAs for data architecture or data engineering roles. Prior LCA filings signal an employer already understands the E-3 process and won't delay your offer while learning it.
Request a specialty occupation job description
Ask your hiring manager to confirm the role requires a specific bachelor's degree, not just any degree. Vague job descriptions listing 'any relevant field' can complicate your visa interview. A well-defined specialty occupation requirement protects your application at the consulate.
Use Migrate Mate's E-3 filing service for the LCA
The LCA must be certified by the DOL before your consulate appointment. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the employer isn't bottlenecked by an unfamiliar process and your appointment booking isn't delayed.
Clarify remote work arrangements before filing
If your Data Architect role is fully remote or spans multiple office locations, the LCA must list every worksite where you'll regularly work. Clarify your working location with the employer before the LCA is submitted to USCIS to avoid amendment filings later.
Prepare your credential equivalency documentation
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but bring your official academic transcripts and a credentials assessment to your interview. Consular officers can and do ask about degree equivalency for technical roles.
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Find Data Architect JobsData Architect E-3 Visa: Frequently Asked Questions
How do I find Data Architect jobs with E-3 visa sponsorship?
Migrate Mate lets you search Data Architect roles specifically filtered for E-3 visa sponsorship, so you're not sifting through listings from employers unfamiliar with Australian visa status. Because the E-3 requires employer participation in the LCA process, targeting employers already open to sponsorship saves significant time during your job search.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Architect role qualify as a specialty occupation for the E-3?
Yes. Data Architect positions routinely qualify as specialty occupations because they require a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, information systems, or a closely related field. The key is that the job description must require a specific degree, not just any bachelor's degree.
How does the E-3 compare to the H-1B for Data Architect roles?
Both visas require specialty occupation status, but the E-3 has no annual lottery and no cap on the number of Australian nationals who can be issued visas each year. You can apply directly at a U.S. consulate once your employer obtains a certified LCA, rather than waiting for an H-1B lottery selection that only happens once per year in April.
Can I change employers on an E-3 as a Data Architect?
Yes, but your new employer must file a fresh LCA with the DOL and your E-3 status is tied to that specific employer. You cannot simply transfer your visa to a new company. You'll need to obtain a new E-3 visa stamp, either at a U.S. consulate abroad or, in some cases, through a status change if you're already in the U.S.
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