Cloud Technical Architect — GCP and Alibaba Cloud

About the Role

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. You will serve as the primary technical authority during client engagements, translating data modernization challenges into architectural solutions and supporting sales, delivery, and partner teams.

Presales & Client Engagement

• Lead technical discovery sessions to understand clients' 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.
• Develop Proof of Concept (PoC) demonstrations and reference architectures aligned to client use cases.
• Respond to RFPs/RFIs/RFQs by authoring technical proposals, solution narratives, and architecture diagrams.
• Articulate business value and ROI of proposed data modernization initiatives to technical and executive audiences.

Technical Architecture & Advisory

• Architect scalable, cloud-native data platforms leveraging services such as GCP (BigQuery, Cloud Storage, Dataproc, Dataflow, Dataplex, Pub/Sub, Looker, Dataform, BigLake, Data Catalog, Composer) and Alibaba Cloud (MaxCompute, DataWorks, AnalyticDB, Data Lake Analytics, E-MapReduce, Realtime Compute, DataHub, Quick BI, DataV).
• 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: dbt, Apache Iceberg, Delta Lake, Apache Kafka, Airflow, and more.

Consulting & Delivery Support

• Act as a trusted advisor providing data strategy and platform roadmap guidance.
• Collaborate with delivery teams during project initiation to ensure architectural alignment and smooth handover from presales.
• Conduct data maturity assessments and gap analysis workshops and produce remediation roadmaps.
• Contribute to reusable accelerators, solution blueprints, and best practice documentation within the practice.

Partnership & Ecosystem

• Maintain technical relationships with Google Cloud and Alibaba Cloud partner teams and participate in partner certification tracks.
• Contribute to practice-level go-to-market positioning and represent the company at technical forums and industry events.

Qualifications

• Education: Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering, or related field.
• Experience: 8+ years in IT with at least 5 years focused on cloud data architecture and data platform engineering; 3+ years in presales, technical consulting, or solution architecture roles.
• Hands-on experience designing and implementing data lake or data lakehouse solutions on 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.
• Certifications (preferred): Google Professional Data Engineer, Google Professional Cloud Architect, Alibaba Cloud ACP/ACE (Big Data/Cloud Architect), Databricks Certified Data Engineer.

Workplace

Hybrid working.

About the Company

NTT DATA is a global business and technology services leader providing consulting, cloud, security, data center and application services. The company supports enterprise-scale AI and digital infrastructure and operates in more than 50 countries.