Senior Delivery Consultant - Data , Professional Services, AWSI HCLS
Tasks
- Apply AI accelerated development life cycle methodologies
- Architect data governance compliant data access
- Build data lakes lakehouses and data mesh architectures
- Collaborate to resolve data quality and access challenges
- Create data products for AI and ML use cases
- Design and implement production data pipelines
- Develop knowledge graphs and semantic ontologies
- Ensure data quality data lineage and reliability at scale
- Implement vector stores and RAG architectures
- Integrate legacy systems and existing governance frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Amazon Bedrock | Amazon Bedrock Knowledge Bases | Amazon Redshift | Amazon S3 | Apache Iceberg | Apache Kafka | Apache Spark | Bedrock Knowledge Bases | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data mesh | Databricks | Identity and Access Management | Identity and access | Knowledge bases | Knowledge graph | Lakehouse | Least Privilege | Least-privilege access | Ontology | Privilege Access | Prompt engineering | Retrieval-Augmented Generation | Semantic data | Semantic data modeling | Snowflake | Streaming Architecture | Vector Store | Zero ETL
Education
Roles
Architect | Consultant | Data Architect | Delivery Consultant
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