Senior Data Architect

Shanghai
Permanent
Full-time

3 days ago
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Role OverviewWe are seeking a highly experienced Senior Data Architect to lead the design, evolution, and governance of a cloud-native data warehouse on Google Cloud Platform (GCP). This role owns the overall data architecture vision and ensures the data platform is scalable, secure, cost-efficient, and analytics-ready.You will provide architectural leadership across data engineering and analytics teams, define standards and best practices, and partner with senior stakeholders to enable high-impact data use cases.Key Responsibilities

Own and evolve the end-to-end cloud data architecture on GCP, with BigQuery as the core analytical platform
Define and enforce enterprise data modeling standards using dbt (dimensional, semantic, and analytics-layer models)
Architect and govern ELT pipelines orchestrated by Airflow and/or Dagster, ensuring reliability and scalability
Provide technical leadership and architectural guidance to data engineers and analytics engineers
Review and approve data designs, dbt models, and pipeline implementations for architectural consistency
Drive BigQuery performance optimization and cost governance, including partitioning, clustering, and workload management
Establish and mature data quality, testing, observability, and lineage frameworks
Define and enforce security, access control, and data governance standards across the data platform
Partner with product, analytics, and business leaders to translate complex requirements into scalable data solutions
Lead architectural decision-making for new data sources, tools, and platform enhancements
Balance business requirements and data platform cost expense, optimize the costs based on target

Requirements

5+ years of experience in data architecture, data engineering, or analytics engineering roles

Proven experience leading the design and implementation of cloud data warehouses
Deep hands-on experience with GCP, especially BigQuery
Strong expertise in dbt for data modeling, testing, documentation, and deployments
Extensive experience with Airflow and/or Dagster for workflow orchestration
Advanced SQL skills and strong command of data modeling patterns
Experience designing scalable, reliable ELT architectures in production environments
Ability to lead architecture discussions and influence technical direction across teams
Experience with large-scale or multi-domain data platforms
Knowledge of additional GCP services such as Cloud Storage, Dataproc, and IAM
Experience enabling BI and semantic layers (e.g. PowerBI, dbt metrics, Cube)
Familiarity with data governance, metadata management, and data catalog tools
Experience in regulated industries or environments with strict data controls
Experience balancing platform scalability with cost efficiency

Zeal Group