Cloud Engineer Visa Sponsorship Jobs in Louisiana
Cloud engineer visa sponsorship jobs in Louisiana are concentrated in Baton Rouge and New Orleans, where energy giants like ExxonMobil and Entergy, financial institutions, and a growing number of digital health and government contracting firms hire for cloud infrastructure roles. Louisiana's strong petrochemical and utilities sectors increasingly depend on AWS, Azure, and GCP talent.
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Get Access To All JobsINTRODUCTION
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
- Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from ‘win’ to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
BASIC QUALIFICATIONS
- 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture related to distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program, or project management including account, stakeholder and resource management accountability
- Experience resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Can travel up to 30% when needed
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 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 anticipates 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.
Local Pay Range
$180,000—$247,500 USD
ABOUT DATABRICKS
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
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
- Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from ‘win’ to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
BASIC QUALIFICATIONS
- 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture related to distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program, or project management including account, stakeholder and resource management accountability
- Experience resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Can travel up to 30% when needed
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 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 anticipates 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.
Local Pay Range
$180,000—$247,500 USD
ABOUT DATABRICKS
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.
Cloud Engineer Job Roles in Louisiana
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Search Cloud Engineer Jobs in LouisianaCloud Engineer Jobs in Louisiana: Frequently Asked Questions
Which companies sponsor visas for cloud engineers in Louisiana?
Energy and utilities companies are the dominant sponsors for cloud engineers in Louisiana. ExxonMobil, Entergy, and Shell have Gulf Coast operations that regularly hire for cloud infrastructure roles. Government contractors working with state agencies and federal facilities in Baton Rouge also file sponsorships. Larger healthcare systems and financial services firms in New Orleans round out the hiring pool.
Which visa types are most common for cloud engineer roles in Louisiana?
The H-1B visa is the most common visa for cloud engineers in Louisiana, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in computer science, information technology, or a related field. Employers also use the L-1B for intracompany transfers, particularly within large energy multinationals. Australians may qualify for the E-3 visa, which has no lottery and is renewable every two years.
How to find cloud engineer visa sponsorship jobs in Louisiana?
Migrate Mate filters cloud engineer jobs specifically by visa sponsorship availability, so you can browse Louisiana postings without sifting through roles that won't support an international hire. Search for cloud engineer roles on Migrate Mate and filter by Louisiana to surface positions from energy companies, government contractors, and healthcare employers across Baton Rouge and New Orleans that have a demonstrated history of sponsoring work visas.
Which cities in Louisiana have the most cloud engineer sponsorship jobs?
Baton Rouge leads Louisiana for cloud engineer sponsorship activity, driven by the concentration of petrochemical companies, state government IT departments, and Louisiana State University's technology ecosystem. New Orleans follows, with growth in fintech, digital health, and hospitality technology. Smaller markets like Shreveport and Lafayette have limited cloud engineering roles, making Baton Rouge and New Orleans the practical targets for sponsored positions.
Are there any Louisiana-specific considerations for cloud engineers seeking visa sponsorship?
Louisiana's cloud engineering market is shaped heavily by the energy sector, so experience with industrial IoT, SCADA systems, or cloud migrations in oil and gas environments strengthens your profile with local employers. The state's universities, particularly Louisiana State University and Tulane, supply technical talent that employers are familiar with, and international graduates from those programs sometimes have an easier path to employer familiarity during the sponsorship conversation.
What is the prevailing wage for sponsored cloud engineer jobs in Louisiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.