Senior Data & AI FDE — Production Solutions Architect

Neon; Atlanta (GA); Sur place; USD 180 656 - 248 360; Plein temps

Avantages offerts par ce poste

Annual performance bonus

Equity options

Résumé du poste

Cacheflow is seeking a Sr. Forward Deployed Engineer based in Atlanta, offering an exciting opportunity to work closely with customers to develop data and AI solutions using the Databricks platform. In this role, you will lead impactful technical projects, ensuring solutions align with customer needs while driving measurable outcomes.

The ideal candidate has at least 6 years of experience in data engineering and software development, with a strong background in distributed computing, particularly with Apache Spark. You will also help integrate customer projects and enhance their understanding of complex data systems.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in either Python, Scala, or JavaScript/TypeScript.
• Deep experience with distributed computing using Apache Spark.

Responsabilités

• Lead impactful customer technical projects by delivering production-grade systems.
• Guide strategic customers as they implement transformational big data projects.
• Contribute accelerators, frameworks, and best practices that scale impact.

Connaissances

Data engineering

Software engineering

Cloud ecosystems (AWS, Azure, GCP)

Distributed computing with Apache Spark

Python, Scala, JavaScript/TypeScript

MLOps

Description du poste

Cacheflow is seeking a Sr. Forward Deployed Engineer based in Atlanta, offering an exciting opportunity to work closely with customers to develop data and AI solutions using the Databricks platform. In this role, you will lead impactful technical projects, ensuring solutions align with customer needs while driving measurable outcomes.

The ideal candidate has at least 6 years of experience in data engineering and software development, with a strong background in distributed computing, particularly with Apache Spark. You will also help integrate customer projects and enhance their understanding of complex data systems.