Key Responsibilities: Assess the current on-premises data warehouse architecture and proposed design for migration to GCP.
- Evaluate the architecture for scalability, performance, and cost-effectiveness.
- Provide recommendations to optimize the architecture, focusing on BigQuery and other GCP services.
- Analyze integration strategies between GCP/BigQuery and existing platforms, including Azure and Databricks.
- Ensure integration aligns with data governance, security, and compliance standards.
- Recommend strategies to scale the architecture for future data and processing needs.
- Ensure cost-effective use of GCP resources while meeting performance requirements.
- Collaborate with internal teams, including data engineers, software architects, and IT operations.
- Present findings and recommendations to stakeholders, clearly communicating technical details.
Qualifications:
- 7+ years of experience in cloud architecture, with a focus on GCP and BigQuery.
- Proven experience in designing and implementing data warehouse solutions on GCP.
- Extensive knowledge of multi-cloud environments, particularly Azure and Databricks.
- Experience in data migration from on-premises to cloud environments.
Technical Skills:
- Strong knowledge of GCP services, especially BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Proficient in designing scalable, high-performance data architectures.
- Familiarity with data integration techniques, ETL processes, and data governance.
