Data Architecture experience:
- Experience architecting solutions in Cloud Data Engineering platform (eg: Google Cloud Platform, AWS, Azure)
- Deep hands-on experience in designing endtoend data architectures on Google Cloud Platform leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
- Develop modern data lake, data warehouse, and lakehouse architectures using best practices and wellarchitected frameworks in Google Cloud Platform and prefer to have experience in AWS, Azure & Databricks
- Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
- Architect scalable ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), and/or Cloud Composer orchestrations.
- Lead cloud-native modernization initiatives: migration from legacy platforms to Google Cloud Platform.