Forward-Deployed Data & AI Engineer (Senior)

Databricks; Indiana (PA); Hybrid; USD 180,656 - 248,360; Full time

Benefits offered by this job

Comprehensive benefits

Annual performance bonus

Equity opportunities

Job summary

Databricks is seeking a Forward Deployed Engineer to collaborate with customers in building solutions to their data and AI challenges. This hands-on position combines engineering expertise with customer engagement to deliver impactful projects, focusing on data platforms, analytics, and application development.

The ideal candidate will demonstrate adaptability and a strong technical background with experience in distributed computing, coding, and CI/CD. A commitment to customer success and delivering high-quality innovations is essential.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Proficiency in coding languages such as Python, Scala, JavaScript/TypeScript.
• Understanding of Apache Spark and its runtime internals.
• Experience with CI/CD processes for production deployments.
• Knowledge of MLOps and AI APIs.

Responsibilities

• Lead impactful customer technical projects delivering production-grade systems.
• Guide strategic customers in big data project implementation.
• Manage architecture and design decisions ensuring scalability and security.
• Engage with customer teams to understand challenges and deliver impact.

Skills

Data engineering

Software engineering

Python

Apache Spark

Cloud ecosystems

MLOps

CI/CD

Documentation skills

Job description

Databricks is seeking a Forward Deployed Engineer to collaborate with customers in building solutions to their data and AI challenges. This hands-on position combines engineering expertise with customer engagement to deliver impactful projects, focusing on data platforms, analytics, and application development.

The ideal candidate will demonstrate adaptability and a strong technical background with experience in distributed computing, coding, and CI/CD. A commitment to customer success and delivering high-quality innovations is essential.