The Customer Engineer for Data Analytics in Financial Services at Google will partner with technical sales teams to enhance customer engagement and drive the adoption of Google Cloud products. This role focuses on leveraging deep expertise in data analytics to solve complex customer challenges and influence product development. The engineer will work closely with customers to design data foundation architectures and develop minimum viable products. This position requires a strong understanding of cloud native architecture and the ability to engage with technical stakeholders.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts such as analytics warehousing and data processing.
• Experience engaging with or presenting to technical stakeholders or executive leaders.
• Experience using programming languages like Python, Spark, or SQL.

• Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption.
• Combine business strategies and direct development to provide functional, customer-tailored solutions.
• Provide deep technical consultation to customers and build lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions.
• Provide critical feedback from customer engagements to improve architectures and solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.