E-3 Visa Forward Deployed Engineering Jobs
Forward Deployed Engineering roles qualify as E-3 specialty occupations when the position requires a bachelor's degree in computer science, engineering, or a directly related field. Australian citizens can secure E-3 visa sponsorship for these client-facing technical roles without competing in the H-1B lottery, with unlimited two-year renewals tied to continued employment.
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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 Forward Deployed Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Forward Deployed Engineering Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Forward Deployed Engineering
Frame your degree for specialty occupation
Forward Deployed Engineering sits at the intersection of software engineering and customer-facing consulting. Document how your degree maps to the technical requirements of the specific role, not just the job title, before applications go out.
Target companies with established LCA infrastructure
Employers who have filed Labor Condition Applications before move faster and make fewer errors. Search DOL's OFLC disclosure data for companies that have sponsored software or solutions engineers on E-3 visa or H-1B visas in the past two years.
Address client travel requirements upfront
Forward Deployed roles often involve travel to client sites across multiple states. Confirm with your hiring contact that the LCA will cover your primary worksite, since USCIS requires a certified LCA tied to a specific work location before your visa is issued.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The LCA must be certified by DOL before your consulate appointment, and errors at this stage delay your start date by weeks.
Search specifically for E-3 sponsorship on Migrate Mate
Most job boards don't filter by visa type. Migrate Mate is built for Australian professionals seeking U.S. roles with E-3 sponsorship, so you're looking at employers who already understand the process rather than educating recruiters from scratch.
Negotiate your start date around consulate processing
Australian consulates in Sydney, Melbourne, and Perth currently schedule E-3 interviews within a few weeks, but administrative processing can extend timelines unpredictably. Build at least six weeks between your offer acceptance and your proposed start date.
E-3 Visa Forward Deployed Engineering: Frequently Asked Questions
How do I find Forward Deployed Engineering jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to find Forward Deployed Engineering roles where employers already know and support the E-3 visa process. Most general job boards don't filter by visa type, so you end up spending time educating recruiters about a visa they've never sponsored. Migrate Mate surfaces roles specifically open to Australian professionals on E-3 visas.
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 Forward Deployed Engineering qualify as a specialty occupation for the E-3 visa?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or a closely related discipline. The key is that the degree requirement must be inherent to the position, not just preferred. Roles that accept any bachelor's degree regardless of field are harder to qualify. Job descriptions that specify engineering or computer science degrees are a strong signal the role will pass USCIS scrutiny.
How does the E-3 visa compare to the H-1B for Forward Deployed Engineering roles?
The E-3 has no annual cap and no lottery, so you can apply at any time of year and start within weeks of receiving an offer rather than waiting up to 18 months. H-1B selection is random and runs only once a year in April, with a roughly 25 percent selection rate. For Forward Deployed Engineering roles, where employers often need staff deployed to client sites on short timelines, the E-3's on-demand availability is a practical advantage.
Can I switch employers or clients while on an E-3 in a Forward Deployed role?
You can change employers on the E-3, but your current visa is tied to your sponsoring employer's Labor Condition Application. If you move to a new company, your new employer must file a fresh LCA and you'll need either a new visa stamp or a change of status. If your role involves being seconded to a client site rather than changing employers, that's generally covered under the existing LCA as long as your primary employer relationship and work location remain consistent.