
Data Architecture Specialist
24 hours ago
Job Title: Cloud Data Architect – AI/ML Expert
Job Summary
We are seeking an expert in cloud-native data architecture and AI/ML workflows to design, develop, and optimize scalable data pipelines on Google Cloud Platform. The ideal candidate will have a solid understanding of GCP services like Pub/Sub, Dataflow, Cloud Storage, and BigQuery, as well as experience with AI/ML tools within Vertex AI.
Key Responsibilities:
- Design and architect robust data ingestion pipelines using GCP services such as Pub/Sub, Dataflow, and Cloud Storage.
- Develop and manage scalable BigQuery data warehouses to support analytics, reporting, and business intelligence needs.
- Collaborate with data scientists and ML engineers to support AI/ML workflows using Vertex AI, including model training and deployment.
- Ensure data quality, reliability, and performance across all pipeline components.
- Work closely with cross-functional teams to understand data requirements and deliver efficient solutions.
- Maintain documentation and contribute to best practices in cloud data engineering.
Required Skills & Qualifications:
- 3–6 years of experience in data engineering or AI/ML development, with strong exposure to GCP.
- Proficiency in GCP services: Pub/Sub, Dataflow, Cloud Storage, and BigQuery.
- Solid understanding of data modeling, ETL/ELT processes, and performance optimization.
- Experience with Python, SQL, and cloud-native development practices.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Secondary Skills (Interview-Ready Knowledge):
- Basic understanding of MLOps principles and cloud-based ML orchestration.
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