Customer-Facing Data & AI Solutions Architect

Menlo Ventures

United States

On-site

USD 152,900 - 210,155

Full time

14 days+

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Job summary

Databricks seeks a Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development with a customer-facing focus.

This role is hands-on, billable, and requires collaboration with engineering, product, and customer teams. Travel up to 20% is expected; US citizenship and clearance eligibility are required; Databricks

Qualifications

  • 5+ years in data engineering, data platforms, analytics, or software engineering.
  • Proficient in Python/Scala/JavaScript with modern frameworks.
  • Experience with distributed computing, especially Spark.
  • Familiar with CI/CD for production deployments.
  • Knowledge of MLOps, ML/AI models and APIs.
  • Ability to design end-to-end data architectures.

Responsibilities

  • Lead production-grade data and AI projects, building reference architectures and data pipelines.
  • Guide customers through end-to-end design, build, and deployment of big data and AI applications.
  • Work with engagement managers to scope technical delivery with customer input.
  • Own architecture decisions, ensuring security, scalability, and best practices.
  • Collaborate with engineering, product, and customer teams to meet needs.
  • Provide feedback to product and support teams to improve engagements.

Skills

Data engineering
Apache Spark
Python/Scala/JS
Cloud platforms (AWS/Azure/GCP)
CI/CD & DevOps

Education

Databricks Certification

Tools

Databricks platform

Job description

Databricks seeks a Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development with a customer-facing focus.

This role is hands-on, billable, and requires collaboration with engineering, product, and customer teams. Travel up to 20% is expected; US citizenship and clearance eligibility are required; Databricks

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