Senior Forward-Deployed Data & AI Engineer

Databricks

Dallas (TX)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Job summary

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

This hands-on, customer-facing role requires engineering excellence, curiosity, and the ability to translate complex concepts into actionable solutions.

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 with Apache Spark and Spark internals.
  • Familiarity with CI/CD for production deployments.
  • Knowledge of MLOps, ML/AI models and AI APIs.
  • Designing end-to-end data architectures combining pipelines, ML/AI models, and UIs.

Responsibilities

  • Lead production-grade solution delivery including reference architectures, data ingestion and ML/AI model integration.
  • Guide strategic customers through end-to-end design, build and deployment of big data and AI applications.
  • Own architecture decisions to ensure secure, scalable solutions.
  • Collaborate with cross-functional teams to align with customer needs and Databricks best practices.
  • Embed with customer teams and provide feedback to product and support teams.
  • Develop reusable assets and accelerators to scale impact across accounts.

Skills

Python
Scala
JavaScript/TypeScript
Spark
CI/CD
MLOps
Data engineering

Tools

Apache Spark

Job description

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

This hands-on, customer-facing role requires engineering excellence, curiosity, and the ability to translate complex concepts into actionable solutions.

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