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We are seeking a senior Cloud Technical Architect with deep expertise in data lake architecture, data management, and cloud-native data services on Google Cloud Platform (GCP) and Alibaba Cloud to join our presales and consulting practice. In this role, you will serve as the primary technical authority during client engagement cycles — translating complex data modernization challenges into compelling architectural solutions and winning proposals. You will work closely with sales, delivery, and partner teams (GCP, Alibaba Cloud) to shape data modernization strategies for enterprise clients across industries.
Job Responsibility:
Lead technical discovery sessions to understand clients' current data landscape, pain points, and business goals
Design and present end-to-end data modernization architectures including data lake, data lakehouse, data mesh, and cloud data warehouse solutions on GCP and Alibaba Cloud platforms
Develop Proof of Concept (PoC) demonstrations and reference architectures aligned to client use cases
Respond to RFPs, RFIs, and RFQs by authoring high-quality technical proposals, solution narratives, and architecture diagrams
Articulate business value and ROI of proposed data modernization initiatives to both technical and executive audiences
Architect scalable, cloud-native data platforms leveraging services such as GCP and Alibaba Cloud
Design data management frameworks covering data governance, data quality, metadata management, data lineage, and master data management (MDM)
Define modern data integration patterns including batch, streaming, CDC, and event-driven architectures
Advise on data security, access control, encryption at rest/in transit, and compliance with data privacy regulations (PDPA, GDPR, Cybersecurity Law of China)
Evaluate and recommend tools across the modern data stack
Act as a trusted advisor to clients, providing data strategy and platform roadmap guidance
Collaborate with delivery teams during project initiation to ensure architectural alignment and a smooth handover from presales
Conduct data maturity assessments and gap analysis workshops, producing actionable remediation roadmaps
Contribute to the development of reusable accelerators, solution blueprints, and best practice documentation within the practice
Maintain and deepen technical relationships with Google Cloud and Alibaba Cloud partner teams
Participate in partner certification tracks and contribute to practice-level go-to-market positioning
Represent the company at technical forums, industry events, and cloud partner summits
Requirements:
8+ years of experience in IT
at least 5 years focused on cloud data architecture and data platform engineering
3+ years of experience in a presales, technical consulting, or solution architecture capacity
Hands-on experience designing and implementing data lake or data lakehouse solutions on Google Cloud Platform (GCP) and/or Alibaba Cloud
Proven experience advising enterprise clients on data modernization, cloud migration of data workloads, or analytics platform transformation
Strong proficiency in SQL
working knowledge of Python, Spark, or Scala for data engineering contexts
Familiarity with Infrastructure-as-Code (Terraform, Deployment Manager, ROS) and DevOps practices for data platform deployments
Understanding of data storage formats: Parquet, ORC, Avro, Delta, Iceberg
Experience with BI/Analytics tools: Looker, Quick BI, Power BI, Tableau, or equivalent
Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering, or a related field
Nice to have:
Google Professional Data Engineer
Google Professional Cloud Architect
Alibaba Cloud Certified Professional (ACP) – Big Data or Data Analyst