AI Data Management Senior Consultant
Tasks
- Build ETL/ELT pipelines
- Catalog and govern master data
- Conduct client workshops and assessments
- Design AI-ready data architectures
- Develop data strategy and roadmap
- Enable secure compliant data ecosystems
- Establish data governance and metadata management
- Implement data platforms and lakehouse architectures
- Integrate enterprise data
- Lead data management engagements
- Manage data quality and lineage
- Mentor junior consultants
- Perform architecture reviews
- Support pre sales proposals and solution development
Perks/Benefits
- N/A
Skills/Tech-stack
AI Data | AI data pipelines | Amazon Redshift | Amazon Web Services | Apache Kafka | Apache Spark | Azure | Cloud platform | Data Architecture | Data Cataloging | Data Governance | Data Lineage | Data Management | Data Pipelines | Data Quality | Data Quality Management | Data integration | Databricks | ELT | ETL | Embeddings | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Hadoop | Lakehouse | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Metadata Management | Power BI | Python | Quality management | Retrieval-Augmented Generation | SQL | Snowflake | Tableau | Vector Databases | Web Services
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