Solutions Acceleration Architect, Data
Google · Posted Oct 23
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The Google Forge Team partners with customers to bring their goals to life, collaborating closely to understand their tests and ideas and then designing and building practical working solutions using data, analytics, Artificial Intelligence (AI), and software engineering. The team works within Google Cloud, which delivers enterprise-grade solutions and tools that help developers build more sustainably for customers in more than 200 countries and territories. In this role, you will lead the design and development of prototypes, mentor team members, and contribute to the strategic direction of solution-building efforts.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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