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Resident Solutions Architect - Digital Native Business

1 hour, 50 minutes ago
United States
Full-time
Senior
Customer Success
Software Development
Apache Spark AWS Azure CI/CD Databricks GCP MLOps Python Scala
Apply Now
Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 211

Description

  • Work directly with clients on big data, data engineering, data science, and cloud technology engagements.
  • Design and build reference architectures, how-to guides, productionized solutions, and customer use cases.
  • Scope professional services work with engagement managers and customer input.
  • Guide customers through big data projects, third-party migrations, and end-to-end design, build, and deployment efforts.
  • Consult on architecture and design to help customers understand, evaluate, and adopt Databricks.
  • Provide escalated support for customer operational issues.
  • Partner with technical teams, project managers, architects, and customer teams to deliver engagement requirements.
  • Work with Engineering and Customer Support to relay product feedback and resolve implementation issues.
  • Facilitate technical workshops, discovery sessions, design sessions, and requirements gathering.
  • Lead customer engagements by architecting, developing, deploying, operationalizing, and documenting complex solutions.

Requirements

  • 6+ years of experience in data engineering, data platforms, and analytics for the Resident Solutions Architect role.
  • 9+ years of experience in data engineering, data platforms, and analytics for the Senior Resident Solutions Architect role.
  • 4+ years of experience in data engineering, data platforms, and analytics for the alternate Resident Solutions Architect posting.
  • Comfortable writing code in Python or Scala.
  • Working knowledge of two or more cloud ecosystems, including AWS, Azure, and GCP, with expertise in at least one.
  • Deep experience with Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps.
  • Experience designing and deploying performant end-to-end data architectures.
  • Experience with technical project delivery, including managing scope and timelines.
  • Experience working with clients and managing conflicts.
  • Strong documentation and white-boarding skills.
  • Ability to travel to customers 20% of the time.
  • Databricks Certification is required in one posting and listed as a nice-to-have in another.
  • Comfort with object-oriented and functional programming in Scala and Python.
  • Experience building scalable streaming and batch solutions using cloud-native components.

Benefits

  • Local pay range of $180,656 to $248,360 USD.
  • Eligibility for an annual performance bonus.
  • Eligibility for equity.
  • Comprehensive benefits and perks package.
  • Remote and region-specific benefits information is available from the company.
  • Opportunity to work at a data and AI company used by more than 10,000 organizations worldwide.

Interested in this position?

Apply directly on the company website

Apply Now

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