Position: Mid-Senior level

Job type: Full-time

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Job content

If you are a GCP Data Architect and have banking sector experience, I would like to speak with you.

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Their products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. And their teams are dedicated to helping their customers and developers see the benefits of their technology come to life.

Responsibilities

Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.

Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.

Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.

Travel to customer sites, conferences, and other related events as required.

The person should have a broad background in data engineering and experience delivering data platform on the GCP for a Bank / financial institution.

The person will need to examine design decisions, architectures and technical design documents and apply best practices thinking to identify gaps and improvement opportunities with the current design.
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Deadline: 17-07-2024

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