Senior Big Data Solutions Architect — Databricks & AI Platforms

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

Benefits offered by this job

Competitive salary

Annual performance bonus

Equity options

Comprehensive benefits package

Job summary

A leading data solutions company is seeking a Big Data Solutions Architect to work with clients on their big data challenges using the Databricks platform. This role involves providing data engineering and cloud technology support while ensuring the successful delivery of projects. Ideal candidates will have over six years of experience in the field, strong programming skills, and a good understanding of cloud ecosystems. The position requires travel to client sites approximately 20% of the time, offering an excellent opportunity to make a significant impact in customer engagements.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics.
• Comfortable writing code in Python or Scala.
• Working knowledge of cloud ecosystems and Apache Spark.
• Experience with technical project delivery and managing scope.
• Ability to travel to customers 20% of the time.

Responsibilities

• Work with clients on Big Data challenges using the Databricks platform.
• Provide data engineering, data science, and cloud technology projects.
• Consult on architecture and design for successful project delivery.
• Guide customers in implementing transformational big data projects.
• Work with Databricks technical team to meet customer needs.

Skills

Data engineering

Cloud platforms (AWS, Azure, GCP)

Apache Spark

Python or Scala programming

MLOps knowledge

Job description

A leading data solutions company is seeking a Big Data Solutions Architect to work with clients on their big data challenges using the Databricks platform. This role involves providing data engineering and cloud technology support while ensuring the successful delivery of projects. Ideal candidates will have over six years of experience in the field, strong programming skills, and a good understanding of cloud ecosystems. The position requires travel to client sites approximately 20% of the time, offering an excellent opportunity to make a significant impact in customer engagements.