Sr. Forward Deployed Engineer (FDE) - Manufacturing

Databricks Inc.; New York (NY); On-site; USD 180,656 - 248,360; Full time

Benefits offered by this job

Annual performance bonus

Equity options

Comprehensive benefits package

Job summary

Databricks Inc. is seeking a Sr. Forward Deployed Engineer (FDE) in New York City to build and productionize solutions for data & AI challenges. This hands-on, customer-facing role emphasizes impactful project delivery and collaboration across teams.

You will deliver production-grade systems, guide customers on architecture, and ensure solutions align with best practices. Candidates should have robust engineering experience and familiarity with cloud ecosystems, especially AWS or Azure.

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Working knowledge of two or more common cloud ecosystems.
• Deep experience with distributed computing using Apache Spark.

Responsibilities

• Lead impactful customer technical projects delivering production-grade systems.
• Guide strategic customers on implementing transformational big-data projects.
• Embed with customer teams to deeply understand challenges and deliver impact.

Skills

Data engineering

Cloud ecosystems (AWS, Azure, GCP)

Distributed computing with Apache Spark

CI/CD for production deployments

MLOps and AI APIs

Technical project delivery

Documentation and white-boarding skills

Customer engagement

Curiosity and adaptability

Education

6+ years in relevant fields

Databricks Certification

Job description

Sr. Forward Deployed Engineer (FDE) – Manufacturing

Location: New York City, New York

Job ID: CSQ127R319

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. You will collaborate cross‑functionally to shape long‑term strategic priorities and initiatives alongside engineering, product, and developer relationships. FDEs deliver with customer empathy, integrating with client systems, training and other technical needs to help customers get the 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, leading to 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 closely 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 guide rapid resolution for engagement‑specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging 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.

What we look for

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• 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, 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.

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 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.

Zone 1 Pay Range $180,656 — $248,360 USD

Zone 2 Pay Range $180,656 — $248,360 USD

Zone 3 Pay Range $180,656 — $248,360 USD

Zone 4 Pay Range $180,656 — $248,360 USD

Benefits

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, refer to our Benefits page.

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 & 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.