Senior Delivery Consultant - Data , Professional Services, AWSI HCLS
Tasks
- Apply AI accelerated development life cycle methodologies
- Architect data governance and lineage for AI ready assets
- Build data lakes lakehouses and data mesh architectures
- Collaborate with customer and partner teams on data requirements
- Create data products for ML model training and agent orchestration
- Design and implement production data pipelines
- Design ontologies and knowledge graphs
- Develop RAG architectures with vector stores
- Enable secure data access for regulated environments
- Integrate data sources with legacy systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Glue Data Catalog | Alation | Amazon Bedrock | Amazon Bedrock Knowledge Bases | Amazon Redshift | Amazon S3 | Amazon SageMaker | Amazon SageMaker Lakehouse | Apache Iceberg | Apache Kafka | Apache Spark | Bedrock Knowledge Bases | Collibra | Data Architecture | Data Catalog | Data Catalogs | Data Engineering | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Pipelines | Data mesh | Databricks | Glue Data Catalog | GxP | GxP Compliance | HIPAA | Knowledge bases | Knowledge graphs | Lakehouse | Least Privilege | Machine Learning | Ontologies | Prompt engineering | RAG | SageMaker Lakehouse | Semantic data | Semantic data modeling | Snowflake | Streaming Architecture | Vector Databases | Zero ETL
Education
Roles
Regions
Countries
States
Cities
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