Senior Data & AI Solutions Architect — Forward‑Deployed

Databricks; Charlotte (NC); On-site; USD 182,000 - 250,000; Full time

Job summary

Databricks in Charlotte, NC is seeking a Forward Deployed Engineer to work with customers on building and productionizing data and AI solutions using 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 role requires coding in Python/Scala/JavaScript, cloud experience, and a passion for measurable outcomes.

Qualifications

• 6+ years in data engineering, data platforms, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with one or more cloud ecosystems (AWS, Azure, GCP).
• Deep experience with distributed computing using Apache Spark and Spark internals.
• Familiar with CI/CD for production deployments.
• Knowledge of MLOps and AI/ML models.
• Ability to design end-to-end data architectures and applications.
• Experience delivering technical projects with measurable outcomes.
• Willingness to travel 20%.
• Databricks Certification.

Responsibilities

• Lead production-grade solution delivery for customer engagements.
• Design reference architectures and data pipelines.
• Develop custom apps and integrate ML/AI models.
• Embed with customer teams and communicate with stakeholders.
• Collaborate with engineering, product, and support to ensure success.
• Create accelerators, frameworks, and scalable assets.

Skills

Python

Scala

JavaScript/TypeScript

Cloud (AWS/Azure/GCP)

Apache Spark

CI/CD

MLOps

Architecture design

Documentation

Customer collaboration

Job description

Databricks in Charlotte, NC is seeking a Forward Deployed Engineer to work with customers on building and productionizing data and AI solutions using 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 role requires coding in Python/Scala/JavaScript, cloud experience, and a passion for measurable outcomes.