Senior Cloud Data Architect

1 week ago

Pune, Maharashtra, India beBeeDataArchitect Full time ₹ 5,00,000 - ₹ 8,00,000
Data Architect

This role is designed for experienced professionals who can develop and implement complex data architectures, machine learning models, and AI-driven solutions using cloud platforms. We are looking for a senior expert with hands-on expertise in data engineering, ML model development, big data frameworks, and cloud infrastructure.

Key Responsibilities:

  • Data Architecture Design: Design scalable, reliable data pipelines using cloud-based services.
  • Machine Learning Model Development: Develop and train ML models with cloud integration for business use cases.
  • Data Lake/Warehouse Design: Design data lakes/warehouses for batch and real-time processing.
  • Ai Integration: Integrate AI models with real-time data systems.

Cloud Architecture:

  • Azure Services: Build AI solutions using Azure AI services.
  • Data Governance: Implement strong data governance with Azure Data Catalog, Policy, and Security Center.
  • Availability and Fault Tolerance: Ensure high availability, fault tolerance, and disaster recovery using Azure services.

Performance Optimization:

  • Distributed Processing: Optimize distributed data processing with Apache Spark on Azure Databricks.
  • Query Performance: Improve query performance in Synapse with partitioning, indexing, and caching.
  • ML Efficiency: Optimize ML model efficiency and inference times using Azure ML AutoML.

Machine Learning Lifecycle Management:

  • CI/CD Pipelines: Implement CI/CD pipelines for ML models using Azure DevOps.
  • MLOps: Apply MLOps for model monitoring, retraining, and lifecycle management.
  • Scalable Serving: Ensure scalable model serving with Azure Kubernetes Service (AKS).

Real-Time Data & Integration:

  • Real-Time Pipelines: Deploy real-time data pipelines with Azure Event Hub, Stream Analytics, and Kafka.
  • Data Integration: Design data integration strategies using Azure Data Factory and APIs.

Candidate Profile:

  • 10+ Years of Experience: 10+ years of experience in data architecture, data engineering, AI/ML, and cloud computing.
  • Expertise: Expertise in Azure (Data Factory, Synapse, ML, AKS); AWS/GCP experience is a plus.
  • Technical Skills: Strong knowledge of big data frameworks (Apache Spark, Databricks), Python, SQL, Terraform, and Kubernetes.

Required Attributes:

  • Problem-Solving Skills: Excellent problem-solving skills with a focus on optimizing performance, cost, and scalability.
  • Security Knowledge: Experience designing secure, cloud-native AI systems.
  • Complex Challenge Management: Ability to manage complex challenges independently in a fast-paced environment.

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