Data Strategist

2 days ago

Pune, Maharashtra, India beBeeCloud Full time ₹ 1,04,000 - ₹ 1,30,878
Cloud Architect for Data & AI Solutions

Job Description:

The Senior Cloud Architect is responsible for designing, developing, and implementing complex data architectures, machine learning models, and AI-driven solutions using cloud platforms such as Azure, AWS, and GCP. This role requires hands-on expertise in data engineering, ML model development, big data frameworks, and cloud infrastructure.

Key Responsibilities:

  • Design scalable, reliable data pipelines using Azure Data Factory, Synapse, and Data Lake.
  • Architect ML models with cloud integration for business use cases using Azure ML.
  • Design data lakes/warehouses for batch and real-time processing.
  • Integrate AI models with real-time data systems (Azure Event Hub, Stream Analytics).

Cloud Architecture:

  • Build AI solutions using Azure AI services (Cognitive Services, ML, etc.).
  • Implement strong data governance with Azure Data Catalog, Policy, and Security Center.
  • Ensure high availability, fault tolerance, and disaster recovery using Azure services.

Performance Optimization:

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

ML Lifecycle Management:

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

Real-time Data & Integration:

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

AI Solution Delivery:

  • Lead AI product development (recommendation engines, predictive analytics).
  • Drive end-to-end AI solution delivery, integrating models into business workflows.

Candidate Profile:

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

Required Skills:

  • Cloud computing platforms: Azure, AWS, GCP
  • Programming languages: Python, Java, C++
  • Big data frameworks: Apache Spark, Hadoop, NoSQL databases
  • Machine learning: TensorFlow, PyTorch, scikit-learn
  • DevOps tools: Jenkins, Docker, Kubernetes

Bonus Points:

  • Experience with containerization using Docker and Kubernetes.
  • Knowledge of cloud security and compliance frameworks.

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