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Senior Data Architect

2 months ago


Toronto, Ontario, Canada Databricks Full time
About the Role

We are seeking a highly skilled Solutions Architect to join our team at Databricks. As a key member of our Field Engineering organization, you will partner with our customers to design scalable data architectures using Databricks technology and services.

Key Responsibilities
  • Partner with customers to design and implement data architectures that meet their business needs.
  • Drive complex technology discussions to express the value of the Databricks platform throughout the sales lifecycle.
  • Engage with customers' technical leads, including architects, engineers, and operations teams, to establish yourself as a trusted advisor.
  • Work with teams across Databricks and executive leadership to represent customer needs and build valuable customer engagements.
  • Develop account strategies with Sales and other partners to grow customers' usage of the platform.
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: big data engineering, data warehousing & ETL, data science and machine learning, or data applications.
  • Experience 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.
About Databricks

Databricks is the data and AI company. Over 10,000 organizations worldwide, including Comcast, Condé Nast, and Grammarly, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

We are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.