Solutions Architect - Financial Services (Hunter)

📋 Description

• Partner with sales to show customers how Databricks solves business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture; implement POCs; validate cloud integrations
• Build and present reference architectures, how-tos, and demos for customers
• Promote Spark, Delta Lake, MLflow in developer communities
• Travel to customers in your region

🎯 Requirements

• 7+ years in customer-facing pre-sales, technical architecture, or consulting
• Experience designing and architecting distributed data systems
• Proficient in Python, Scala, Java, SQL, or R
• Built solutions with AWS, Azure, or GCP
• Data engineering tech: Spark, Hadoop, Kafka
• SQL-based data warehousing (OLTP/OLAP/DSS)

🎁 Benefits

• Comprehensive benefits and region-specific details
• Commitment to diversity and inclusion
• Opportunities to engage with developer communities via meetups, conferences, and webinars
• Remote-friendly work and global teams