Senior Forward-Deployed Data & AI Engineer

Vibehackers; San Francisco (CA); Hybrid; USD 182,000 - 250,000; Full time

Benefits offered by this job

Annual bonus

Equity

Job summary

Vibehackers is seeking a Senior Forward Deployed Engineer to work directly with customers to design, build, and productionize data and AI solutions on the Databricks platform in production environments.

You will own architecture decisions, deliver end-to-end data pipelines and ML/AI integrations, and collaborate with engineering, product, and customer teams to drive measurable impact while traveling to customer sites in the San Francisco Bay Area.

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing and Apache Spark, including knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models and AI APIs.
• Experience designing and deploying performant production end-to-end data architectures combining pipelines, models, and user-facing interfaces.
• Experience with technical project delivery: managing scope, timelines and measurable outcomes.
• Strong documentation and white-boarding skills, customer empathy, and experience working with enterprise clients and broad stakeholders.
• Willingness to travel to customers (~20% travel) and be based in or spend significant time in the San Francisco Bay Area (see Location).
• Databricks Certification (listed as a requirement).

Responsibilities

• Deliver production-grade systems, reference architectures, custom applications, data ingestion pipelines, and ML/AI integrations for customers.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and align with Databricks best practices.
• Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications.
• Embed with customer teams across technical ICs to executives to deeply understand challenges and deliver impact.
• Work cross-functionally with engagement managers, project managers, architects, engineering, and customer support to scope and deliver engagements.
• Contribute reusable accelerators, frameworks, and best practices to scale impact across accounts and influence the product roadmap.

Skills

Data engineering

Spark

MLOps

CI/CD

Customer-facing

Stakeholder management

Documentation

Problem solving

Tools

Databricks Platform

Cloud platforms

Job description

Vibehackers is seeking a Senior Forward Deployed Engineer to work directly with customers to design, build, and productionize data and AI solutions on the Databricks platform in production environments.

You will own architecture decisions, deliver end-to-end data pipelines and ML/AI integrations, and collaborate with engineering, product, and customer teams to drive measurable impact while traveling to customer sites in the San Francisco Bay Area.