Solutions Acceleration Architect, Data

Minimum qualifications:

• 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, data processing, data transformation, data governance, data migrations, extract, transform, load (ETL), extract, load, transform (ELT), SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

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 actionable components, and designing technical architectures to meet those needs.
• Experience managing stakeholder expectations and building consensus around complex technical projects.
• Experience with database technologies (e.g., SQL, NoSQL), streaming data (e.g., Kafka), big data and data warehousing solutions.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

The Google Forge Team partners with customers to bring their goals to life. We collaborate closely to understand their tests and ideas, then design and build practical working solutions using data, analytics, Artificial Intelligence (AI), and software engineering. Our goal is to demonstrate how these technologies can work together to achieve impactful business results.

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 closely with customers to understand their business challenges, technical requirements, and strategic objectives.
• Mentor and guide team members, fostering a culture of innovation and continuous learning.
• Establish and promote innovative best practices and methodologies for data-motivated solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.
• Build strong, trusted relationships with customers and stakeholders.