Sr. Forward Deployed Engineer - National Security
Cloudjobs · Location, WV · 1 mo ago
$182k–$250k/yrFull-time
We need to output only HTML fragment, with headings for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse the job posting.
Key info:
- Title: Sr. Forward Deployed Engineer - National Security (but we don't repeat as heading)
- Remote friendly, remote work from anywhere.
- Travel requirement: 20-25% travel to customer locations (Schedule? maybe travel schedule)
- Pay: Pay Range Transparency: Zones all same: $182,000—$250,208 USD. So we have pay info. Should include Pay section with that range.
- Benefits: There's a Benefits section: "At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here." That's vague but it's a statement about benefits. It's not specific details but it's still content. The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. The Benefits section says "we strive to provide comprehensive benefits and perks...". That's somewhat generic but it's still content. It's not placeholder like "N/A". It's a statement. I'd say we can include Benefits with that paragraph.
- About the role: There's a section "About Databricks" and "The Role". The "About Databricks" is generic company description. Could be considered About the role? The instruction: use
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse the job posting.
Key info:
- Title: Sr. Forward Deployed Engineer - National Security (but we don't repeat as heading)
- Remote friendly, remote work from anywhere.
- Travel requirement: 20-25% travel to customer locations (Schedule? maybe travel schedule)
- Pay: Pay Range Transparency: Zones all same: $182,000—$250,208 USD. So we have pay info. Should include Pay section with that range.
- Benefits: There's a Benefits section: "At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here." That's vague but it's a statement about benefits. It's not specific details but it's still content. The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. The Benefits section says "we strive to provide comprehensive benefits and perks...". That's somewhat generic but it's still content. It's not placeholder like "N/A". It's a statement. I'd say we can include Benefits with that paragraph.
- About the role: There's a section "About Databricks" and "The Role". The "About Databricks" is generic company description. Could be considered About the role? The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to map content to these headings.
We have:
- About the role: Could include description of role: "As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions..." plus "The Impact You Will Have:" bullet list. That seems like responsibilities.
- Responsibilities: Could be the bullet list under "The Impact You Will Have:" and maybe also "The Role" description.
- Requirements: Minimum Qualifications list.
- Qualifications: Preferred Qualifications list.
- Skills: Could be technologies: Fluency in writing code in Python, Scala, JavaScript/TypeScript, 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, documentation and white-boarding skills; Experience working with enterprise clients and managing conflicts across a broad stakeholder range. That's a mix of qualifications and skills. But we can separate: Minimum Qualifications as Requirements, Preferred Qualifications as Qualifications, and maybe Skills as a separate section summarizing technical skills.
- Benefits: we have paragraph.
- Pay: we have pay range.
- Schedule: travel requirement 20-25% travel to customer locations. That's schedule info.
We must not repeat job title as heading. Also not include Job ID/requisition numbers as headings.
We must remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove "Ready to apply? Review the details above and continue to the employer's site to start your application." etc.
Also remove "Role snapshot Compensation N/A Location Remote Work from anywhere Technologies AWSAzureGCPPythonJavaScript" etc (duplicate). Also remove "About Databricks" repeated later? We'll keep one.
We need to preserve all substantive information.
Let's extract sections:
About the role: maybe a short paragraph summarizing role: "As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time"
But travel note could go to Schedule.
Responsibilities: The Impact You Will Have bullet list:
- 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.
- Deliver Technical Components: 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
- Cross-Collaborate: Work with Engineers and 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.
We can keep as - .
Requirements: Minimum Qualifications list:
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Fluency in writing code in 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, documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
Qualifications: Preferred Qualifications:
- Expertise in MLOps, ML/AI models, and AI APIs
- Databricks Certification
Skills: Could be a separate section summarizing technical skills: maybe list of technologies: Python, Scala, JavaScript/TypeScript, modern frameworks, AWS, Azure, GCP, Apache Spark, CI/CD, MLOps, ML/AI models, AI APIs. But we might avoid duplication. However the instruction: Prefer a few substantive sections over many thin ones. Could combine Skills into Requirements or Qualifications. But we have separate headings allowed. We could include Skills as a short list of core technologies: Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD, MLOps, ML/AI, AI APIs. That's not repeating too much.
Benefits: Paragraph: "At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here."
Pay: Pay range: Zone 1-4 all same: $182,000—$250,208 USD. Also mention total compensation may include annual performance bonus, equity, benefits. We can include that.
Schedule: Travel requirement 20-25% of time to customer locations. Also note hybrid role. Could mention remote friendly, work from anywhere, hybrid, travel 20-25%.
We need to ensure we don't include filler like "N/A". The posting had "Compensation N/A" earlier but we have actual pay range, so we ignore that.
We must not include duplicated lines.
Now produce HTML fragment with
headings and appropriate content.
We'll order sections logically: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
Make sure each section has real content.
Let's craft:
About the role
As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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.
Note: travel note removed; will go to Schedule.
Responsibilities
- 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.
- Deliver Technical Components: 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
- Cross-Collaborate: Work with Engineers and 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.
Requirements
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Fluency in writing code in Python, Scala, JavaScript/TypeScript
- .
Requirements: Minimum Qualifications list:
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Fluency in writing code in 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, documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
Qualifications: Preferred Qualifications:
- Expertise in MLOps, ML/AI models, and AI APIs
- Databricks Certification
Skills: Could be a separate section summarizing technical skills: maybe list of technologies: Python, Scala, JavaScript/TypeScript, modern frameworks, AWS, Azure, GCP, Apache Spark, CI/CD, MLOps, ML/AI models, AI APIs. But we might avoid duplication. However the instruction: Prefer a few substantive sections over many thin ones. Could combine Skills into Requirements or Qualifications. But we have separate headings allowed. We could include Skills as a short list of core technologies: Python, Scala, JavaScript/TypeScript, AWS, Azure, GCP, Apache Spark, CI/CD, MLOps, ML/AI, AI APIs. That's not repeating too much.
Benefits: Paragraph: "At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here."
Pay: Pay range: Zone 1-4 all same: $182,000—$250,208 USD. Also mention total compensation may include annual performance bonus, equity, benefits. We can include that.
Schedule: Travel requirement 20-25% of time to customer locations. Also note hybrid role. Could mention remote friendly, work from anywhere, hybrid, travel 20-25%.
We need to ensure we don't include filler like "N/A". The posting had "Compensation N/A" earlier but we have actual pay range, so we ignore that.
We must not include duplicated lines.
Now produce HTML fragment with
headings and appropriate content. We'll order sections logically: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Make sure each section has real content. Let's craft:
About the role
As a Sr. Forward Deployed Engineer (FDE), you will work with federal government 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.
Note: travel note removed; will go to Schedule.Responsibilities
- 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.
- Deliver Technical Components: 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
- Cross-Collaborate: Work with Engineers and 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.
Requirements
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Fluency in writing code in Python, Scala, JavaScript/TypeScript