Senior Solutions Acceleration Architect, Data

Google Cloud accelerates organizations' digital transformation, delivering enterprise-grade solutions leveraging Google's cutting-edge technology.
Data
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Enterprise SaaS · AI
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Description For Senior Solutions Acceleration Architect, Data

Google Cloud's APAC Solutions Acceleration team is seeking a Senior Solutions Acceleration Architect to lead the design and development of cutting-edge data solutions. This role combines technical expertise with customer collaboration, focusing on transforming business challenges into innovative solutions using data, analytics, and software engineering. As a principal-level position, you'll be responsible for architecting scalable data solutions, mentoring team members, and driving technical innovation. With 10 years of required experience in cloud computing and data architecture, you'll work with Google Cloud Platform to deliver enterprise-grade solutions. The role offers the opportunity to work with cutting-edge technology, contribute to thought leadership, and directly impact customer success across the APAC region. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries. The position requires deep technical expertise in data architecture, analytics, and modern development practices, combined with strong leadership and customer relationship skills.

Last updated a month ago

Responsibilities For Senior Solutions Acceleration Architect, Data

  • Lead the design, development, and iterative refinement of data-centric solutions on Google Cloud Platform (GCP)
  • Collaborate closely with customers to understand their business challenges, technical requirements, and strategic 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
  • Build trusted relationships with customers and stakeholders

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 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 languages such as Python, and with developing and deploying data solutions
  • Experience with database technologies (SQL, NoSQL), streaming data and data warehousing solutions
  • Experience managing stakeholder expectations and building consensus around complex technical projects

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