Senior Data & AI Production Architect

Databricks

Washington (District of Columbia)

On-site

USD 182,000 - 250,000

Full time

14 days+

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Job summary

Databricks is seeking a Forward Deployed Engineer to collaborate with customers on productionizing data and AI solutions using the Databricks platform.

You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development, traveling up to 20% to customer sites and embedding with client teams to deliver measurable outcomes.

Qualifications

  • 6+ years experience in data engineering, data platforms, analytics, or software engineering.
  • Strong coding skills in Python, Scala, JavaScript/TypeScript.
  • Experience with distributed computing using Apache Spark.
  • Cloud experience in AWS, Azure, or GCP.
  • CI/CD for production deployments.
  • Familiarity with MLOps and ML/AI models.
  • Ability to translate complex concepts into actionable solutions.
  • Excellent documentation and white-boarding skills.
  • Willingness to travel up to 20%.
  • Databricks Certification.

Responsibilities

  • Lead production-grade data and AI projects for customers.
  • Design reference architectures and data ingestion pipelines.
  • Develop custom applications and ML/AI model integration.
  • Embed with customer teams and ensure successful adoption.
  • Collaborate with engagement managers to scope delivery.
  • Provide architectural leadership and security considerations.
  • Gather feedback to influence product roadmap.

Skills

Data engineering
Python
Scala
Spark
Cloud platforms
CI/CD
ML/AI models
Customer-facing
Documentation

Tools

Databricks

Job description

Databricks is seeking a Forward Deployed Engineer to collaborate with customers on productionizing data and AI solutions using the Databricks platform.

You will own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development, traveling up to 20% to customer sites and embedding with client teams to deliver measurable outcomes.

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