Enterprise Data Architect

4 days ago


Chennai, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Title

A Data Architect is responsible for designing and developing scalable data pipelines and architectures that support AI/ML applications.


Key Responsibilities
  • Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.
  • Build and optimize data architectures to support AI/ML applications and model training at scale.
  • Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines.
  • Develop and manage data integration solutions that align with enterprise data governance and security standards.
  • Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines.
  • Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages.
  • Enable self-service analytics by building reusable data assets and data marts for business stakeholders.
  • Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization.

Required Skills and Qualifications
  • Must To Have Skills: Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines.
  • Good To Have Skills: GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications.
  • Understanding of data modeling, data warehousing, and distributed computing frameworks.
  • Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows.
  • Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects.

Additional Information

The ideal candidate will possess a strong educational background in computer science, data engineering, or a related field, along with a proven track record of building and scaling data systems for AI/ML initiatives. A minimum of 9 years of experience in Google Cloud Data Engineering or related domains is required.


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