Data Cloud Engineer, Global Services Delivery (english, Spanish)

Data Cloud Engineer, Global Services Delivery (English, Spanish)

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina.

Minimum Qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 3 years of experience in solution engineering and 1 year of experience in stakeholder management, professional services, or technical consulting.
• 2 years of experience writing code in one or more programming languages (e.g., Python, Java).
• Ability to communicate in Spanish and English fluently to support client relationship management in this region.

Preferred Qualifications:

• Master's degree in Engineering, Computer Science, Business, or a related field.
• Experience in investigative roles such as business intelligence, data analytics, or statistics.
• Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
• Experience working with database technologies (e.g., SQL, NoSQL).
• Experience using Machine Learning and building solutions.
• Experience working with systems (e.g., Linux, Unix).

About the Job:

As a Data Cloud Engineer, you will work directly with some of Google's customers on data projects that transform business. You will provide consulting, program management, and technical expertise on customer engagements, while working with customer executives and key technical leaders to deploy solutions on Google's Cloud Platform.

Responsibilities:

• Work with customer technical leads, executives, and partners to manage and deliver successful implementations of cloud solutions, becoming a trusted advisor to decision makers throughout the engagement.
• Work with internal specialists, product, and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
• Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful customer outcomes.
• Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience.
• Propose solution architectures and manage the deployment of cloud-based distributed virtualized data solutions according to customer requirements and implementation of best practices.