Forward Deployed Engineer

Databricks; Santo Niño 1st; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Databricks is hiring a Forward Deployed Engineer in the Philippines. You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

You will work closely with engineering, product, and customer teams to deliver production-grade data/AI solutions for customers. The role requires 4+ years in data engineering or software engineering, strong Spark and cloud experience, and excellent stakeholder management.

Qualifications

• 4+ years in data engineering, data platforms or software engineering.
• Experience with distributed data systems and Spark runtime internals.
• Ability to design end-to-end architectures for data pipelines and ML/AI apps.
• Strong communication for working with enterprise clients and stakeholders.
• Familiarity with two or more cloud ecosystems (AWS/Azure/GCP) with at least one deep expertise.
• Hands-on coding in Python/Scala/JS and modern frameworks, with CI/CD for production.

Responsibilities

• Lead production-grade delivery including reference architectures and data ingestion.
• Drive end-to-end design, build and deployment of data/AI applications.
• Guide customer architecture and design decisions for secure, scalable solutions.
• Collaborate with Databricks teams to ensure timely delivery and feedback.
• Embed with customer teams to deeply understand challenges and deliver impact.
• Develop accelerators and reusable assets to scale impact across accounts.

Skills

Data engineering

Python

Scala

JavaScript/TypeScript

Cloud platforms (AWS/Azure/GCP)

Apache Spark

MLOps

CI/CD

Architectural design

Customer engagement

Education

Tools

Databricks

Job description

As a 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. 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 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 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 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 practice s that scale impact across accounts and i...

What we look for:

• 4+ 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 Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification