Senior Solutions Acceleration Architect, Data
Job Summary
Job Description
- Bachelor's degree in CS or related field
- 10+ years cloud computing experience (data focus)
- Experience with modern app development & DevOps
- Programming/scripting (Python)
- Experience with database technologies (SQL, NoSQL)
- Architecting scalable, distributed systems
- Customer-facing or consulting experience
- Experience managing stakeholder expectations
- GenAI and data solution development
- Rapid prototyping and proof-of-concept creation
- Excellent communication skills (technical & non-technical)
12 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering.
- Experience with modern application development and DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code.
- Experience in programming/scripting languages such as Python, with developing and deploying data solutions.
- Experience in architecting and developing software or infrastructure for scalable, and distributed systems.
- Experience with database technologies (SQL, NoSQL), streaming data and data warehousing solutions.
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 understanding customer requirements, breaking them down into actionable components, and designing technical architectures to meet those needs.
- Experience managing stakeholder expectations and building consensus around complex technical projects.
- Ability to analyze complex business problems and develop innovative technical solutions leveraging GenAI and data.
- Ability to build rapid prototypes and proof-of-concepts to demonstrate innovative solutions.
- Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
The Asia Pacific (APAC) Solutions Acceleration Team partners with customers to bring their goals to life. You will collaborate with them to understand their challenges and ideas, then design and build practical working solutions using data, analytics, AI, and software engineering. Your goal is to demonstrate how these technologies can work together to achieve impactful business results.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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.
Responsibilities
- Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP), showcasing the potential of data and AI to address specific business needs.
- Collaborate with customers to understand their business challenges, technical requirements, and objectives. Build strong, trusted relationships with customers and stakeholders.
- Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
- Establish and promote innovative best practices and methodologies for data-driven solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.
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