TL;DR

Resident Solutions Architect (Big Data & AI): Working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology solutions with an accent on integrating with client systems and training. Focus on designing and building reference architectures and guiding customers in implementing transformational big data projects.

Location: New York City, New York. U.S. Citizenship is required for this position.

Salary: $180,656—$248,360 USD

Company

Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for more than 10,000 organizations worldwide.

What you will do

  • Work on impactful customer technical projects, including designing and building reference architectures and productionalizing customer use cases.
  • Scope professional services work with engagement managers.
  • Guide strategic customers in implementing transformational big data projects, including end-to-end design, build, and deployment.
  • Consult on architecture and design; bootstrap or implement customer projects for successful Databricks adoption.
  • Provide escalated support for customer operational issues.
  • Work with the Databricks technical team to ensure technical components meet customer needs.

Requirements

  • 6+ years of 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™ and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments.
  • U.S. Citizenship is required for this position.

Nice to have

  • Databricks Certification

Culture & Benefits

  • Comprehensive benefits and perks to meet the needs of all employees.
  • Committed to fostering a diverse and inclusive culture where everyone can excel.
  • Hiring practices are inclusive and meet equal employment opportunity standards.