Solutions Architect - Financial Services (Hunter) (Fintech)

TL;DR

Solutions Architect (Financial Services): Leading the growth of the Databricks Unified Analytics Platform for financial services clients with an accent on big data architecture, data engineering, and ML implementation. Focus on designing distributed data systems, building proof-of-concepts, and guiding customers through the technical adoption of Lakehouse technologies.

Location: Must be based in Georgia, Illinois, Massachusetts, New Jersey, New York, or Washington, D.C.

Salary: $180,000 — $247,500 USD

Company

Databricks is the data and AI company and the original creator of Lakehouse, Apache Spark, Delta Lake, and MLflow.

What you will do

• Partner with sales teams to help customers solve business problems using the Databricks platform.
• Provide technical leadership to guide customers through the evaluation and adoption of Databricks.
• Consult on big data architecture and implement proof of concepts for strategic customer projects.
• Develop and present reference architectures, how-to guides, and demo applications.
• Promote open-source projects like Spark, Delta Lake, and MLflow within developer communities.
• Travel to customers within the assigned region to provide on-site support and guidance.

Requirements

• 7+ years of experience in customer-facing pre-sales, technical architecture, or consulting roles.
• Proven experience designing and architecting distributed data systems.
• Proficiency in programming and debugging in at least one of: Python, Scala, Java, SQL, or R.
• Experience building solutions with public cloud providers (AWS, Azure, or GCP).
• Deep knowledge of Data Engineering (Spark, Hadoop, Kafka) and Data Warehousing (SQL, OLTP/OLAP).

Nice to have

• Experience supporting Financial Services clients.
• Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.

Culture & Benefits

• Competitive compensation package including salary, annual performance bonus, and equity.
• Comprehensive benefits and perks tailored to the employee's region.
• Opportunity to work at the forefront of the data and AI industry with creators of industry-standard open-source tools.
• Inclusive culture committed to diversity and equal employment opportunity.