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Cloud Solutions Architect
2 months ago
Key Responsibilities: Evaluate the existing on-premises data warehouse framework and devise a strategy for its transition to Google Cloud Platform (GCP).
- Assess the architecture for scalability, efficiency, and financial viability.
- Offer insights to enhance the architecture, emphasizing BigQuery and other GCP offerings.
- Examine integration methodologies between GCP/BigQuery and current systems, including Azure and Databricks.
- Ensure that integration adheres to data governance, security, and compliance protocols.
- Propose strategies to expand the architecture for future data and processing requirements.
- Guarantee cost-efficient utilization of GCP resources while fulfilling performance standards.
- Collaborate with internal teams, such as data engineers, software architects, and IT operations personnel.
- Communicate findings and suggestions to stakeholders, effectively conveying technical information.
Qualifications:
- Over 7 years of experience in cloud architecture, particularly with GCP and BigQuery.
- Demonstrated expertise in designing and executing data warehouse solutions on GCP.
- Comprehensive understanding of multi-cloud ecosystems, especially Azure and Databricks.
- Experience in migrating data from on-premises systems to cloud environments.
Technical Skills:
- In-depth knowledge of GCP services, particularly BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Skilled in crafting scalable, high-performance data architectures.
- Familiarity with data integration methodologies, ETL processes, and data governance practices.