E-3 Visa Senior Principal Data Engineer Jobs
Senior Principal Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, data engineering, or a related field. The E-3 has no lottery and no annual cap, making it a faster path to U.S. employment than the H-1B for Australian citizens who already hold a qualifying offer.
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Get Access To All JobsJob Requisition ID # 26WD94931
Senior Principal Data Engineer
Position Overview
At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You’ll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk’s business processes. As we collaborate across departments, you’ll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk’s approach for data-driven decision-making processes.
Location: San Francisco, United States.
Responsibilities
- Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals.
- Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams.
- Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments.
- Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement.
- Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation.
- Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity.
- Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability.
- Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale.
- Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact.
- Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads.
- Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear.
- Business domain experience in subscription and consumption business models.
- Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions.
- Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc.
Minimum Qualifications
- BS or higher in computer science or related technical discipline.
- 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems.
- Excellent problem-solving and troubleshooting skills and make sound architectural decisions.
- Broader knowledge in software architecture concepts.
- Deep knowledge and experience with data architecture and data platform designs.
- Deep knowledge and experience in data modeling, entity relationship and query analysis optimization.
- Deep expertise in Python, Snowflake, SQL and DBT. Real hands-on project experience with these skills is a must.
- Expert in using AWS. Real hands-on project experience with these skills is a must.
- Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution.
- Experiences designing and building data science and ML models for generating business insights from enterprise system data.
- Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs.
- Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly.
- Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams.
- Excellent interpersonal, communication and presentation skills both verbally and written.
- Rich experience in mentoring and coaching other developers is a must.
- Deep knowledge and experience of working in Agile process is needed.
- Embrace changes and can work under pressure.
- Willing to take challenges and stretch comfortable zone with growth mindset.
Preferred Qualifications
- Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus.
- Rich domains knowledge in GTM business models and process is a plus.
- Rich domains knowledge on data architecture and data model is preferred.
- Experience building and delivering Gen AI capabilities or solution is a strong plus.
- Deep knowledge and experience in data science and machine learning are preferred.
About Autodesk
Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day.
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Job Requisition ID # 26WD94931
Senior Principal Data Engineer
Position Overview
At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You’ll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk’s business processes. As we collaborate across departments, you’ll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk’s approach for data-driven decision-making processes.
Location: San Francisco, United States.
Responsibilities
- Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals.
- Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams.
- Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments.
- Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement.
- Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation.
- Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity.
- Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability.
- Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale.
- Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact.
- Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads.
- Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear.
- Business domain experience in subscription and consumption business models.
- Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions.
- Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc.
Minimum Qualifications
- BS or higher in computer science or related technical discipline.
- 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems.
- Excellent problem-solving and troubleshooting skills and make sound architectural decisions.
- Broader knowledge in software architecture concepts.
- Deep knowledge and experience with data architecture and data platform designs.
- Deep knowledge and experience in data modeling, entity relationship and query analysis optimization.
- Deep expertise in Python, Snowflake, SQL and DBT. Real hands-on project experience with these skills is a must.
- Expert in using AWS. Real hands-on project experience with these skills is a must.
- Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution.
- Experiences designing and building data science and ML models for generating business insights from enterprise system data.
- Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs.
- Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly.
- Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams.
- Excellent interpersonal, communication and presentation skills both verbally and written.
- Rich experience in mentoring and coaching other developers is a must.
- Deep knowledge and experience of working in Agile process is needed.
- Embrace changes and can work under pressure.
- Willing to take challenges and stretch comfortable zone with growth mindset.
Preferred Qualifications
- Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus.
- Rich domains knowledge in GTM business models and process is a plus.
- Rich domains knowledge on data architecture and data model is preferred.
- Experience building and delivering Gen AI capabilities or solution is a strong plus.
- Deep knowledge and experience in data science and machine learning are preferred.
About Autodesk
Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day.
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
See all 29+ Senior Principal Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Principal Data Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Principal Data Engineer
Verify your degree meets specialty occupation
Your Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but your field of study must align with the data engineering role. A degree in computer science or information systems strengthens your case far more than a general IT qualification.
Target employers with active LCA filings
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for senior data engineering titles. Employers already familiar with the process move faster and rarely stall at the sponsorship conversation.
Separate your skills from your visa status early
At senior principal level, hiring managers care about your distributed systems experience and data architecture background first. Frame the E-3 as a straightforward employer step rather than an ask, since it requires no lottery and no multi-year timeline.
Confirm E-Verify enrollment before your offer stage
Your employer must be enrolled in E-Verify or willing to enroll before the LCA is filed with DOL. Raise this during the offer negotiation, not after signing, so there are no delays if the company needs to complete enrollment first.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission, DS-160, and consulate preparation. Senior-level roles sometimes involve complex compensation structures that require careful prevailing wage documentation.
Start your consulate appointment booking immediately
Australian consulates in Sydney, Melbourne, and Perth each have different appointment availability. Book your slot as soon as the LCA is certified by DOL, since wait times fluctuate and a delayed appointment can push your start date back by weeks.
Senior Principal Data Engineer jobs are hiring across the US. Find yours.
Find Senior Principal Data Engineer JobsSenior Principal Data Engineer E-3 Visa: Frequently Asked Questions
Where can I find Senior Principal Data Engineer jobs with E-3 sponsorship?
Migrate Mate lists Senior Principal Data Engineer roles from U.S. employers who are open to E-3 visa sponsorship, so you're not filtering through jobs that won't lead anywhere. At this seniority level, roles are concentrated in cloud infrastructure, fintech, and enterprise data platforms, and Migrate Mate surfaces those opportunities specifically for Australian applicants.
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 Senior Principal Data Engineer role qualify as a specialty occupation under the E-3?
Yes. Senior Principal Data Engineer positions consistently meet the specialty occupation standard because they require at least a bachelor's degree in computer science, data engineering, or a closely related field. The role involves designing large-scale data systems and architecting pipelines, which USCIS and DOL treat as requiring specialized theoretical and practical knowledge tied to a specific academic discipline.
How does the E-3 compare to the H-1B for a Senior Principal Data Engineer role?
The E-3 has no annual lottery, so your employer doesn't need to wait for a random selection result in April. You can apply at any time of year once you have a certified LCA and a job offer. The H-1B cap-subject process means most applicants wait at least a year before starting, while E-3 holders can typically begin within weeks of consulate approval.
What happens if my compensation includes equity or bonuses for prevailing wage purposes?
The DOL prevailing wage calculation for your LCA is based on your base salary only, not equity or bonuses. Your employer must certify that your base wage meets or exceeds the prevailing wage for the Senior Principal Data Engineer role in the specific metropolitan area where you'll work, as defined in the DOL's wage database.
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