Solutions Architect at Databricks
15 hours ago
toronto, on, Canada
Neon
Full-time
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
Shape the future of data solutions with Databricks as a Solutions Architect. Engage in designing scalable data architectures, driving technical discussions, and achieving significant customer outcomes.
At Databricks, you will work within the Field Engineering team, focusing on customer engagement to design robust data architectures. Collaborating closely with Account Executives, you will interact with technical leads from customers' engineering and operations teams. This role involves establishing trust as an advisor while driving the adoption of the Databricks platform across assigned accounts.
Key Responsibilities:
• Develop account strategies to increase platform usage
• Establish Databricks Lakehouse architecture as a standard
• Present reference architectures and demo applications
• Consult on big data architectures and data engineering
• Promote Databricks open-source projects in communities
Requirements:
• 5+ years in pre-sales or technical architecture
• Expertise in big data, data warehousing, or machine learning
• Fluent in SQL and proficient in Python, Scala, or Java
• Experience with public cloud providers like AWS or Azure
• Willing to travel up to 30% for customer meetings
Leverage your expertise to strengthen customer relationships and drive data innovation at Databricks.
At Databricks, you will work within the Field Engineering team, focusing on customer engagement to design robust data architectures. Collaborating closely with Account Executives, you will interact with technical leads from customers' engineering and operations teams. This role involves establishing trust as an advisor while driving the adoption of the Databricks platform across assigned accounts.
Key Responsibilities:
• Develop account strategies to increase platform usage
• Establish Databricks Lakehouse architecture as a standard
• Present reference architectures and demo applications
• Consult on big data architectures and data engineering
• Promote Databricks open-source projects in communities
Requirements:
• 5+ years in pre-sales or technical architecture
• Expertise in big data, data warehousing, or machine learning
• Fluent in SQL and proficient in Python, Scala, or Java
• Experience with public cloud providers like AWS or Azure
• Willing to travel up to 30% for customer meetings
Leverage your expertise to strengthen customer relationships and drive data innovation at Databricks.