E-3 Visa Senior Forward Deployed Engineer Jobs
Senior Forward Deployed Engineer roles sit squarely within E-3 visa specialty occupation requirements, combining deep technical expertise with client-facing implementation work that demands a relevant engineering or computer science degree. Australian professionals can secure E-3 sponsorship without competing in a lottery, making these high-demand positions far more accessible than H-1B visa pathways.
Find E-3 Visa Senior Forward Deployed Engineer JobsOverview
Showing 5 of 229+ Senior Forward Deployed Engineer jobs
See all 229+ Senior Forward Deployed Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Forward Deployed Engineer roles.
Get Access To All JobsINTRODUCTION
Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.
As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
ROLE AND RESPONSIBILITIES
The impact you will have:
- Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
BASIC QUALIFICATIONS
What we look for:
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
COMPENSATION
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Zone 1 Pay Range: $182,000—$250,208 USD
- Zone 2 Pay Range: $182,000—$250,208 USD
- Zone 3 Pay Range: $182,000—$250,208 USD
- Zone 4 Pay Range: $182,000—$250,208 USD
ABOUT DATBRICKS
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
INTRODUCTION
Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.
As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
ROLE AND RESPONSIBILITIES
The impact you will have:
- Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
- Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
BASIC QUALIFICATIONS
What we look for:
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
COMPENSATION
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Zone 1 Pay Range: $182,000—$250,208 USD
- Zone 2 Pay Range: $182,000—$250,208 USD
- Zone 3 Pay Range: $182,000—$250,208 USD
- Zone 4 Pay Range: $182,000—$250,208 USD
ABOUT DATBRICKS
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BENEFITS
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
OUR COMMITMENT TO DIVERSITY AND INCLUSION
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
COMPLIANCE
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
See all 229+ E-3 Visa Senior Forward Deployed Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior Forward Deployed Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Forward Deployed Engineer
Frame your degree as specialty occupation evidence
Consular officers assess whether your specific engineering or computer science degree directly supports an FDE role. Prepare a one-page credential summary mapping your Australian qualifications to U.S. specialty occupation standards before you start applying.
Target companies with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs under software or systems engineering job categories. Prior LCA activity signals an established E-3 sponsorship workflow, reducing delays after you receive an offer.
Clarify the client-site deployment question upfront
FDE roles often involve working at customer sites rather than your employer's registered address. Your LCA must list the correct worksite locations. Raise this with your hiring contact before the offer stage so the employer files the LCA accurately from the start.
Use Migrate Mate's E-3 filing service for offer-to-consulate paperwork
Once you have a signed offer, use Migrate Mate's E-3 filing service to handle your LCA submission and DS-160 preparation. This avoids the most common filing errors that delay consulate appointments for technical roles with complex job descriptions.
Request an itinerary addendum for multi-site roles
If your FDE contract covers multiple customer locations across different states, ask your employer to include a deployment schedule as supporting documentation. USCIS and consular officers reviewing specialty occupation claims for traveling technical roles look for this level of specificity.
Prepare a technical scope statement for your interview
Consular officers may ask you to explain how your day-to-day work differs from general software support. A concise written summary of your implementation methodology, tools you deploy, and the client outcomes you drive strengthens your specialty occupation case in the interview room.
E-3 Visa Senior Forward Deployed Engineer: Frequently Asked Questions
How do I find Senior Forward Deployed Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals seeking U.S. roles with E-3 sponsorship. Search by job title and filter for employers with verified E-3 or LCA filing history. Because FDE roles sit at the intersection of engineering and customer success, searching both categories improves your results significantly.
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 Forward Deployed Engineer role qualify as a specialty occupation for E-3?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, systems engineering, or software engineering. Roles that frame the position as requiring any bachelor's degree regardless of field, or that treat the degree as preferred rather than required, can create specialty occupation problems at the consulate. Your offer letter and job description should specify the degree field explicitly.
How does the E-3 compare to the H-1B for Senior Forward Deployed Engineers?
The E-3 has no annual lottery, so you can apply any time of year after receiving a job offer. H-1B requires winning a random lottery that runs once annually in March, with results typically in April. For FDE roles, where offers often have fast start dates tied to client implementation cycles, the E-3's year-round availability and four-to-six week processing timeline is a practical advantage.
Can my E-3 visa cover work at multiple customer sites across different U.S. states?
Yes, but the LCA must account for all primary worksites. If you're deployed across multiple states regularly, your employer may need to file a blanket LCA or list each location. The DOL requires the prevailing wage determination to reflect conditions in each work location, so a single-city LCA doesn't automatically cover nationwide deployment. Confirm the filing scope with your employer before the LCA is submitted.