Senior Forward Deployed Engineer

Responsibilities

• Lead customer technical projects delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
• Design, build, and deploy end-to-end data and AI applications using the Databricks platform.
• Own architecture and design decisions, ensuring solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
• Guide customers through architecture, design, implementation, evaluation, adoption, and transformational big data projects.
• Scope technical delivery work with engagement managers and customers; manage project scope, timelines, and measurable outcomes.
• Collaborate with project managers, architects, Databricks technical teams, engineering, product, developer relations, and customer support.
• Embed with customer teams and engage stakeholders ranging from technical contributors to executives.
• Provide technical training, documentation, whiteboarding, implementation support, and product feedback.
• Contribute reusable accelerators, frameworks, and best practices that scale across accounts and influence the product roadmap.
• Travel to customers approximately 20% of the time.

Requirements

• 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Proficiency in at least one of Python, Scala, JavaScript, or TypeScript, along with modern frameworks.
• Working knowledge of at least two cloud ecosystems—AWS, Azure, or Google Cloud—with expertise in at least one.
• Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, machine learning and AI models, and AI APIs.
• Experience designing and deploying performant, production-grade data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
• Experience delivering technical projects and managing scope, timelines, and measurable outcomes.
• Experience working with enterprise clients and managing conflicts across diverse stakeholder groups.
• Strong documentation and whiteboarding skills.
• Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.

Nice to Have

• Databricks Certification.

Compensation

• Base salary range: $182,000–$250,208 USD.
• Total compensation may also include an annual performance bonus, equity, and benefits.