About this role

Lead the design, evolution, and governance of our enterprise data ecosystem
Act as the bridge between business strategy and technical execution
Champion modern architectural patterns like Data Lakehouse and Data Mesh
Define the end-to-end data architecture on Google Cloud
Lead the transition from legacy batch-heavy systems to unified batch-and-streaming architectures
Implement "Lakehouse" patterns using BigQuery and BigLake to unify structured and unstructured data
Architect data foundations that specifically support Vertex AI and Generative AI agents
Design robust ETL/ELT workflows using Cloud Composer (Airflow) or Dataflow (Apache Beam)
Implement automated data quality, lineage, and cataloging using Dataplex and Data Catalog
Ensure "Secure-by-Design" principles, managing IAM, encryption, and PII redaction (using DLP API) to meet global regulations (GDPR, HIPAA, etc.)

12+ years in Data Engineering/Architecture roles
3+ years specifically architecting solutions on Google Cloud Platform
Proven experience in managing large-scale data migrations (on-prem to cloud or multi-cloud)
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Google Professional Data Engineer (Highly Recommended)
Google Professional Cloud Architect
Google Professional Cloud Database Engineer

Technical Architect – Google Cloud Platform

Key skills