Cloud, Data Science & AI Architect
Tasks
- Architect data lake data warehouse and lakehouse solutions
- Architect scalable cloud and data platforms
- Architect streaming and real time analytics solutions
- Conduct architecture assessments and proofs of concept
- Define AI orchestration patterns
- Define CI CD testing and Infrastructure as Code practices
- Define data architectures for batch and streaming
- Define data modeling standards and performance optimization
- Define end-to-end enterprise architecture
- Define observability and disaster recovery strategies
- Design Cloud Native/microservices architectures
- Design cloud native data products and APIs
- Design enterprise data pipelines
- Design enterprise data platforms ingestion transformation storage governance
- Design generative AI solutions with large language models
- Design integration frameworks using APIs and event driven architectures
- Ensure security privacy compliance and responsible AI
- Establish architecture standards and best practices
- Evaluate emerging technologies and recommend adoption
- Implement MLOps architectures
- Lead machine learning solution development and deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Design | API Management | AWS | Agentic AI | Amazon Kinesis | Amazon SageMaker | Apache Flink | Apache Kafka | Apache Pulsar | Apache Spark | Azure AI | Azure AI Search | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | Bicep | CI/CD | Cloud platform | CloudFormation | Data Governance | Data Lineage | Data Management | Data Quality | DataOps | Databricks | Databricks Lakehouse | DevSecOps | Docker | Encryption | Event Driven | Event-driven architecture | Generative AI | Golang | Google BigQuery | Google Cloud | Google Cloud Platform | IAM | Infrastructure as Code | Java | Key Management | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Looker | MLOps | MLflow | Machine Learning | Master Data | Master Data Management | Metadata Management | Microservices | Microsoft Azure | Microsoft Fabric | Node.js | Observability | OpenSearch | PGVector | Pinecone | Power BI | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Kernel | Serverless | Snowflake | Spark Streaming | Synapse Analytics | Tableau | Terraform | Vector Databases | Weaviate | “as-code”
Education
N/A
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