Senior Solutions Acceleration Architect, Data

As a qualified candidate for this role, you will be responsible for leading the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP). Your primary focus will be showcasing the potential of data and AI to address specific business needs. In addition, you will collaborate with customers to understand their business challenges, technical requirements, and objectives, building strong and trusted relationships with them. Your key responsibilities will include: - Leading the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP) - Collaborating with customers to understand their business challenges, technical requirements, and objectives - Mentoring and guiding junior team members to foster a culture of innovation and continuous learning - Establishing and promoting innovative best practices and methodologies for data-driven solutions - Contributing actively to industry thought leadership through publications, presentations, and community engagement Qualifications required for this role include: - 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 for this role include: - 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 In this role, you will have the opportunity to work on cutting-edge data and AI solutions on the Google Cloud Platform, while also engaging with customers to address their specific business needs. You will play a crucial role in mentoring junior team members and contributing to thought leadership in the industry. As a qualified candidate for this role, you will be responsible for leading the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP). Your primary focus will be showcasing the potential of data and AI to address specific business needs. In addition, you will collaborate with customers to understand their business challenges, technical requirements, and objectives, building strong and trusted relationships with them. Your key responsibilities will include: - Leading the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP) - Collaborating with customers to understand their business challenges, technical requirements, and objectives - Mentoring and guiding junior team members to foster a culture of innovation and continuous learning - Establishing and promoting innovative best practices and methodologies for data-driven solutions - Contributing actively to industry thought leadership through publications, presentations, and community engagement Qualifications required for this role include: - 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 for this role include: - 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 r