Sr. Forward Deployed Engineer - Public Sector

United States Digital Space LLC; Usca; Presencial; PEN 613.000 - 843.000; Jornada completa

Descripción de la vacante

the company is seeking a Sr. Forward Deployed Engineer to work with customers on data and AI challenges, owning architecture and end-to-end delivery. You will lead design decisions and implement production-scale systems spanning data engineering, AI, and application development.

The role requires strong customer empathy and hands-on execution across cross-functional teams. The position is customer-facing, with travel to client sites about 20% of the time, and involves collaboration across

Formación

• 6+ years in data engineering, data platforms & analytics, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with AWS/Azure/GCP and Spark; strong CI/CD familiarity.
• Hands-on with MLOps and end-to-end data architectures.
• Experience delivering for enterprise clients; willingness to travel 20%.

Responsabilidades

• Lead production-grade solution delivery including reference architectures and data pipelines.
• Guide transformational big data and AI projects with end-to-end design and deployment.
• Embed with customer teams and ensure solutions meet security, scalability, and business goals.
• Collaborate with engineering, product, and client teams to deliver measurable outcomes.
• Provide feedback to product and support teams to improve adoption and iteration.

Conocimientos

6+ years data eng

Python/Scala/JS

Cloud: AWS/Azure/GCP

Spark

CI/CD

MLOps

End-to-end data architecture

Project delivery

Documentation

Enterprise clients

Travel 20%

Certification

Descripción del empleo

ADD REQ ID

CSQ427R88

PLEASE NOTE: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the the company 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.

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 the company.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices.
• Work with the the company 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 the company 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 the company product roadmap.

What we look for:

• 6+ years 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 the company-based solutions to complete customer projects
• Travel to customers 20% of the time
• the company Certification

Pay Range Transparency

the company 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, the company 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. For more information regarding which range your location is in visit our page here.

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 the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, 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.

Our Commitment to Diversity and Inclusion