Solutions Architect - Financial Services (Professional Services)

Highlights

• Lead growth of Data Intelligence Platform for Financial Services customers.
• Guide customers from use-case discovery through implementation to business outcomes.
• Build relationships as trusted advisor and cultivate customer champions.

What they offer

• Annual performance bonus
• Equity
• Comprehensive benefits and perks

Ideal candidate

Customer-obsessed technologist with 7+ years in pre-sales or consulting who loves solving business problems with data. You thrive building trust with Financial Services clients and guiding them to meaningful outcomes.

Requirements

• 7+ years in a customer-facing pre-sales or consulting role, preferably with big-data technologies
• Experience designing and architecting distributed data systems
• Comfortable programming and debugging in Python, SQL, Scala, Java, or R
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in engineering or mathematics discipline