Customer-Facing Data & AI Solutions Architect

Databricks Inc.

Central (LA)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Job summary

Databricks is seeking a Forward Deployed Engineer who builds and productionizes data & AI solutions on the Databricks platform. You will own architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development for enterprise customers.

This hands-on, customer-facing role requires strong engineering expertise, exceptional communication, and the ability to translate complex concepts into scalable implementations while maintaining a strong

Qualifications

  • 6+ years experience in data engineering or software engineering.
  • Experience with two or more cloud ecosystems (AWS/Azure/GCP).
  • Deep experience with distributed computing using Apache Spark.
  • Familiarity with CI/CD for production deployments.
  • Experience with enterprise clients and managing stakeholder expectations.
  • Databricks Certification could be preferred.

Responsibilities

  • Lead production-grade solution delivery including reference architectures and data ingestion.
  • Guide end-to-end design and deployment of big data and AI applications.
  • Own architecture decisions ensuring secure, scalable solutions.
  • Collaborate with engineering, product, and customer teams to meet engagement needs.
  • Provide feedback to product and support teams for rapid issue resolution.
  • Embed with customer teams to understand challenges and deliver impact.

Skills

Data engineering
Cloud platforms
Apache Spark
MLOps
Solution architecture
Customer-facing

Tools

MLflow
Delta Lake
CI/CD

Job description

Databricks is seeking a Forward Deployed Engineer who builds and productionizes data & AI solutions on the Databricks platform. You will own architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development for enterprise customers.

This hands-on, customer-facing role requires strong engineering expertise, exceptional communication, and the ability to translate complex concepts into scalable implementations while maintaining a strong

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