GCP Data Architect

About the role

The GCP Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and governing advanced data solutions on Google Cloud Platform (GCP). This role drives the alignment of data architectures with business strategies, leveraging expertise in Google BigQuery, Dataflow, Python, and DevOps to deliver scalable, secure, and high-performance data ecosystems.

What you'll do

• Architect Enterprise-Scale Data Solutions Using Google Bigquery And Google Dataflow, Ensuring Alignment With Business Objectives And Industry Best Practices
• Define And Enforce Data Governance, Security, And Compliance Measures Across Gcp Data Platforms, Leveraging Devops Practices For Automation And Monitoring
• Lead The Design And Optimization Of Data Pipelines And Etl Processes Using Python And Dataflow, Ensuring Data Quality, Scalability, And Reliability
• Review And Validate Architectural Deliverables, Providing Expert Guidance To Teams On Gcp-Native Data Modeling, Performance Tuning, And Cost Optimization
• Drive Adoption Of New Gcp Features And Technologies, Ensuring Continuous Modernization And Relevance Of Data Solutions

What you need

• 6–10 years in data science & ai
• GCP
• Python
• BigQuery
• ETL
• Data modelling
• CI/CD
• Any graduate

Good to have

• Terraform

What you get