Senior Solutions Acceleration Architect, Data

Google Cloud Platform helps customers transform their business using cloud technology, focusing on security, reliability and scalability.
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

Description For Senior Solutions Acceleration Architect, Data

Google Cloud Platform is seeking a Senior Solutions Acceleration Architect specializing in Data to join their team. This role combines technical expertise in cloud computing, data architecture, and AI with customer-facing responsibilities. As part of the Asia Pacific (APAC) Solutions Acceleration Team, you'll work directly with customers to transform their businesses using Google Cloud technologies.

The position requires deep technical knowledge in cloud computing, data engineering, and modern development practices. You'll be responsible for designing and implementing cutting-edge prototypes that demonstrate how data, analytics, and AI can solve complex business challenges. The role involves both technical leadership and mentorship, requiring you to guide team members while contributing to strategic direction.

This is an excellent opportunity for experienced professionals who combine strong technical skills with business acumen. You'll need to translate complex customer requirements into practical solutions, build rapid prototypes, and effectively communicate technical concepts to diverse audiences. The role offers the chance to work with Google's cutting-edge technology while helping organizations across APAC region digitally transform their businesses.

Working at Google Cloud means being part of a team that's dedicated to innovation and customer success. You'll have the opportunity to shape how businesses use technology to connect with their stakeholders while working with some of the most advanced cloud technologies available. The position offers the chance to contribute to thought leadership in the industry and make a significant impact on how organizations leverage data and AI.

The role requires a minimum of 10 years of experience in cloud computing with a focus on data architecture, analytics, and engineering. You should be comfortable with programming languages like Python, have experience with both SQL and NoSQL databases, and understand modern DevOps practices including containerization and CI/CD pipelines. The ideal candidate will have a proven track record of working directly with customers and building consensus around complex technical projects.

Last updated 11 minutes ago

Responsibilities For Senior Solutions Acceleration Architect, Data

  • Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP)
  • Collaborate with customers to understand their business challenges, technical requirements, and objectives
  • 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

Requirements For Senior Solutions Acceleration Architect, Data

Python
Kubernetes
  • 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, and distributed systems
  • Experience with database technologies (SQL, NoSQL), streaming data and data warehousing solutions

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