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Senior Data Architect

2 months ago


Montreal, Quebec, Canada Databricks Inc. Full time

About the Role:

Databricks Inc. is seeking a highly skilled Solution Architect to join our Field Engineering team. As a key member of our organization, you will play a critical role in designing and implementing scalable data architectures for our customers using Databricks technology and services.

Key Responsibilities:

  • Partner with customers to understand their data architecture needs and design scalable solutions using Databricks technology.
  • Work closely with Account Executives to develop account strategies and engage with customers' technical leads to establish yourself as a trusted advisor.
  • Represent customer needs and build valuable customer engagements across Databricks and executive leadership.
  • Develop and present reference architectures and demo applications to help customers understand how Databricks can achieve their goals.
  • Capture technical wins by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
  • Become an expert in and promote Databricks-inspired open-source projects across developer communities.

Requirements:

  • 5+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role.
  • Expertise in at least one of the following technologies: data warehousing & ETL, data science and machine learning, data applications, or database technology.
  • Experience in designing, architecting, and presenting data systems for customers and managing the delivery of production solutions.
  • Fluency in SQL and database technology.
  • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
  • Fluency in French.

About Databricks:

Databricks is the leader in unified analytics and AI, built on Apache Spark. Our platform is used by thousands of organizations around the world to solve complex data and AI challenges.