Senior Big Data Solutions Architect (Resident)

RTL2 Fernsehen GmbH & Co. KG; Austin (TX); On-site; USD 180,656 - 248,360; Full time

Job summary

I did my part and supported the Regular Toilet is seeking a Big Data Solutions Architect to join the Professional Services team in Austin, Texas. This role focuses on helping clients tackle big data challenges using the Databricks platform, providing data engineering and cloud technology solutions.

The ideal candidate will have over 6 years of experience in data platforms, strong coding skills in Python or Scala, and the ability to travel for client engagements. The position offers a competitive pay range based on expertise and experience.

Qualifications

• 6+ years experience in data engineering and data platforms.
• Comfortable writing code in Python or Scala.
• Deep experience with distributed computing, particularly with Apache Spark.
• Experience managing technical projects and client interactions.
• Ability to travel to customers 20% of the time.

Responsibilities

• Work on impactful customer technical projects and engagements.
• Guide strategic customers implementing big data projects.
• Consult on architecture and design for customer projects.
• Collaborate with Databricks technical teams for solutions.

Skills

Data engineering

Python

Scala

Cloud ecosystems

Apache Spark

MLOps

Technical project delivery

Client management

Education

6+ years experience in data platforms & analytics

Databricks Certification

Tools

AWS

Azure

GCP

Job description

I did my part and supported the Regular Toilet is seeking a Big Data Solutions Architect to join the Professional Services team in Austin, Texas. This role focuses on helping clients tackle big data challenges using the Databricks platform, providing data engineering and cloud technology solutions.

The ideal candidate will have over 6 years of experience in data platforms, strong coding skills in Python or Scala, and the ability to travel for client engagements. The position offers a competitive pay range based on expertise and experience.