Data & AI Architect
Tasks
- Architect Azure cloud native data platforms
- Build AI ready data ecosystems
- Define enterprise data architecture
- Define scalable ETL ELT pipelines
- Design ML and generative AI solutions
- Design enterprise AI architecture
- Develop proof of concepts
- Ensure security and cost optimization
- Establish data governance standards
- Evaluate emerging AI and cloud technologies
- Evolve data lakes and data warehouses
- Implement RAG architectures
- Implement responsible AI practices
- Implement vector search and embeddings
- Integrate real-time data sources
- Mentor engineering and data teams
- Optimize data models for performance
- Support MLOps and LLMOps
Perks/Benefits
Skills/Tech-stack
API | Agentic AI | Apache Spark | Autogen | Azure Data | Azure Data Factory | Azure Data Lake | Azure Machine Learning | CI/CD | CrewAI | Data Factory | Data Governance | Data Lake | Data Lineage | Data Management | Data Modeling | Data Quality | Data Warehousing | Data mesh | Databricks | Domain-Driven Design | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | Generative AI | LLMOps | Lakehouse | Langchain | Langgraph | MLOps | MLflow | Machine Learning | Master Data | Master Data Management | Metadata Management | Microsoft Azure | Privacy Compliance | Python | RAG | Retrieval-Augmented Generation | SQL | SQL Server | Semantic Retrieval | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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