Sr. Forward Deployed Engineer

United States Digital Space LLC; Chicago (IL); On-site; USD 182,000 - 250,000; Full time

Benefits offered by this job

Certification program

Job summary

United States Digital Space LLC is hiring a Forward Deployed Engineer to work directly with customers, designing end-to-end data, AI, and application solutions on the company platform. You will own the architecture, lead design decisions, and deliver production-grade systems across data engineering, AI, and development domains.

You will guide transformational big data projects, collaborate with cross-functional teams, and ensure secure, scalable architectures while embedding with customer teams

Qualifications

• 6+ years of experience in data engineering, data platforms or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud platforms (AWS, Azure, GCP).
• Deep knowledge of distributed computing using Apache Spark.
• Familiarity with CI/CD for production deployments.
• Knowledge of MLOps and AI model integration is a plus.
• Ability to design end-to-end data architectures and applications.

Responsibilities

• Lead production-grade solution delivery and reference architectures.
• Guide transformational big data projects from design to deployment.
• Bootstrap or implement customer projects with emphasis on outcomes.
• Own architecture decisions to ensure scalable and secure solutions.
• Collaborate with engineering, product, and customer teams to meet needs.
• Provide product and implementation feedback with rapid issue resolution.
• Embed with customer teams to understand challenges and deliver impact.
• Develop accelerators and best practices to scale across accounts.

Skills

Data engineering

Distributed computing

Python/Scala/JS

Cloud ecosystems

Spark

CI/CD

MLOps

Customer facing

Architectural design

Stakeholder management

Travel

Tools

Spark Analytics

Job description

CSQ427R94

As a 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 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 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

At the company, 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 the company 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.

ComplianceIf access to export-controlled techn