Senior Data & AI Deployment Architect

Menlo Ventures

Charlotte (NC)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Job summary

Databricks Forward Deployed Engineer position located in the United States seeks engineers to work with customers on productionizing Databricks data & AI solutions. You will own architecture, lead design decisions, and implement end-to-end systems across data engineering, AI and application development.

The role is hands-on and customer-facing, requiring strong engineering expertise, adaptability, and excellent customer empathy.

Qualifications

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • Proficient in Python, Scala, or JavaScript/TypeScript.
  • Experience with two or more cloud ecosystems (AWS, Azure, GCP).
  • Deep experience with distributed computing and Spark runtime internals.
  • Experience with CI/CD for production deployments.
  • Experience with ML/AI models and AI APIs.
  • Travel to customers 20% of the time.

Responsibilities

  • Production Solution Delivery: lead production-grade customer projects, design reference architectures, and build data ingestion and ML/AI model integration.
  • Transformational Impact: guide strategic customers through end-to-end design, build and deployment of big data and AI applications.
  • Empower Customers: advise on architecture and design to achieve successful adoption of Databricks.
  • Own the Architecture: drive architecture decisions ensuring secure, scalable solutions.
  • Collaborate with engineering, project managers and customer teams to deliver engagements.

Skills

Data engineering
Distributed computing
Apache Spark
Cloud platforms
CI/CD
Customer-facing
Python/Scala

Tools

Apache Spark

Job description

Databricks Forward Deployed Engineer position located in the United States seeks engineers to work with customers on productionizing Databricks data & AI solutions. You will own architecture, lead design decisions, and implement end-to-end systems across data engineering, AI and application development.

The role is hands-on and customer-facing, requiring strong engineering expertise, adaptability, and excellent customer empathy.

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