Senior Forward Deployed Engineer (Manufacturing)

TL;DR

Senior Forward Deployed Engineer (Manufacturing): Building and productionizing end-to-end data and AI solutions on the Databricks platform with an accent on architecture design, system integration, and customer-facing technical delivery. Focus on solving complex data engineering and ML/AI challenges to drive measurable business outcomes for strategic enterprise clients.

Location: Seattle, Washington (Onsite)

Salary: $180,656 – $248,360 USD

Company

Databricks is the data and AI company, providing a unified platform for data, analytics, and AI, founded by the creators of Apache Spark, Delta Lake, and MLflow.

What you will do

• Lead impactful customer technical projects by delivering production-grade systems and reference architectures.
• Guide strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
• Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
• Embed with customer teams to understand challenges and deliver high-impact technical solutions.
• Contribute reusable assets, frameworks, and best practices to influence the product roadmap.
• Collaborate with internal engineering, product, and support teams to provide feedback and resolve implementation issues.

Requirements

• 6+ years of experience in data engineering, data platforms, or software engineering.
• Proficiency in Python, Scala, or JavaScript/TypeScript.
• Working knowledge of at least two major cloud ecosystems (AWS, Azure, GCP).
• Deep experience with distributed computing using Apache Spark and knowledge of its runtime internals.
• Experience with MLOps, AI models, and CI/CD for production deployments.
• Must be able to travel to customer sites up to 20% of the time.

Nice to have

• Databricks Certification.
• Experience managing enterprise client relationships and stakeholder conflicts.

Culture & Benefits

• Comprehensive benefits and perks tailored to regional needs.
• Commitment to a diverse and inclusive culture with equal employment opportunity standards.
• Opportunity to work at the intersection of cutting-edge AI technology and business strategy.