Senior Solutions Acceleration Architect, Data

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

• Bachelor's degree in business, computer science, or a related field or equivalent practical experience.
• 10 years of experience in a customer-facing role in the enterprise technology space.
• Experience with modern application development and DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with analyzing business problems and developing innovative technical solutions leveraging advanced analytics and data.

Preferred qualifications:

• 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering, in a customer-facing or consulting role.
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience understanding customer requirements, breaking them down into components, and designing technical architectures to meet those needs.
• Experience managing stakeholder expectations and building consensus around technical projects.
• Experience with database technologies (SQL, NoSQL), streaming data and data warehousing solutions.
• Passion for building rapid prototypes to demonstrate innovative solutions. Proficiency in programming languages like Python, with experience developing and deploying data solutions.

About the job

In this role, you will lead the design and development of prototypes, demonstrating the transformative power of data, analytics, and software engineering to solve business challenges for our customers. You will play a role in mentoring team members and contributing to the direction of our solution-building efforts.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Lead the design, development, and iterative refinement of data-centric solutions on Google Cloud Platform (GCP), showcasing the potential of data to address specific business needs.
• Collaborate closely with customers to understand their business challenges, technical requirements, and objectives. Build trusted relationships with customers and stakeholders.
• Mentor and guide team members, fostering a culture of innovation and continuous learning.
• Establish and promote innovative best practices and methodologies for data solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.