Senior Big Data Solutions Architect - Databricks Expert

RTL2 Fernsehen GmbH & Co. KG; Dallas (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 in Dallas, Texas. In this role, you will engage with clients to address big data challenges using the Databricks platform and provide data engineering and cloud technology solutions. You will also be tasked with project delivery, ensuring customer satisfaction and resolving operational issues.

The ideal candidate has at least 6 years of experience and expertise in distributed computing, particularly with Apache Spark. This position offers a competitive salary range of $180,656 — $248,360 USD.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics.
• Comfortable writing code in either Python or Scala.
• 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.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps.
• Design and deployment of performant end-to-end data architectures.
• Experience with technical project delivery - managing scope and timelines.
• Experience working with clients and managing conflicts.

Responsibilities

• Work on impactful customer technical projects.
• Scope variety of professional services work.
• Guide strategic customers through transformational projects.
• Consult on architecture and design.
• Provide escalated support for customer operational issues.
• Work with Databricks technical team and customers.

Skills

Data engineering

Python

Scala

AWS

Azure

GCP

Apache Spark

CI/CD

MLOps

Technical project delivery

Documentation

Client management

Job description

I did my part and supported the Regular Toilet is seeking a Big Data Solutions Architect in Dallas, Texas. In this role, you will engage with clients to address big data challenges using the Databricks platform and provide data engineering and cloud technology solutions. You will also be tasked with project delivery, ensuring customer satisfaction and resolving operational issues.

The ideal candidate has at least 6 years of experience and expertise in distributed computing, particularly with Apache Spark. This position offers a competitive salary range of $180,656 — $248,360 USD.