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, 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.

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.

Senior Solutions Acceleration Architect, Data