Senior Forward Deployed Engineer - Data & AI Solutions

Databricks Inc.; Philadelphia (Philadelphia County); Hybrid; USD 180,656 - 248,360; Full time

Benefits offered by this job

Comprehensive health benefits

Annual performance bonus

Equity options

Job summary

Databricks Inc. is looking for a Sr. Forward Deployed Engineer (FDE) in Philadelphia, Pennsylvania to drive impactful customer data projects using the Databricks platform. This hands-on role involves architecture ownership and implementing solutions that enhance customer outcomes.

Ideal candidates have extensive experience in data engineering and analytics, particularly with Apache Spark. Strong collaboration skills, adaptability, and a customer-oriented mindset are essential for success in this position.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.

Responsibilities

• Lead impactful customer technical projects by delivering production-grade systems.
• Guide strategic customers as they implement transformational big data projects.
• Empower customers on architecture and design for successful implementation.
• Engage with stakeholders to understand challenges and deliver impactful solutions.

Skills

Data engineering

Apache Spark

Cloud ecosystems (AWS, Azure, GCP)

CI/CD

MLOps

Project delivery

Documentation skills

Building skills in technical areas

Education

6+ years experience in data platforms and engineering

Databricks Certification

Job description

Databricks Inc. is looking for a Sr. Forward Deployed Engineer (FDE) in Philadelphia, Pennsylvania to drive impactful customer data projects using the Databricks platform. This hands-on role involves architecture ownership and implementing solutions that enhance customer outcomes.

Ideal candidates have extensive experience in data engineering and analytics, particularly with Apache Spark. Strong collaboration skills, adaptability, and a customer-oriented mindset are essential for success in this position.