
Data Solutions Architect
20 hours ago
Job Role: Scalable Data Solutions Architect
Our organization is seeking an accomplished data solutions architect to design and develop scalable data pipelines and cloud-native applications on Google Cloud Platform (GCP).
Key Responsibilities:
- Plan, build, and optimize robust data ingestion systems using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- Design and manage large-scale BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- Collaborate with data scientists and machine learning engineers to support AI/ML workflows using Vertex AI.
- Ensure data reliability, quality, and performance across all pipeline components.
- Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
Requirements:
- 3–6 years of experience in data engineering with strong exposure to GCP.
- Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
- Deep understanding of data modeling, ETL/ELT processes, and performance optimization techniques.
- Experience with Python, SQL, and cloud-native development practices.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
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