Senior Solutions Acceleration Architect, Data

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.