AVP - Data Architect – Chief Data Office - IT

Tasks

• Apply data mining techniques to source data
• Automate ETL logic generation
• Automate metadata classification and data quality rules
• Collaborate with Data Scientists on ML pipelines
• Collaborate with teams on data requirements and governance
• Define data quality rules and workflows
• Design data flows between systems
• Design data models for data warehouse and marts
• Document technical designs and operational procedures
• Identify schema improvement patterns
• Improve ETL/ELT pipeline quality and efficiency
• Manage metadata and data governance using data tools
• Model and document within data platform environment
• Support AI applications in data warehouse
• Support cloud architecture development
• Support cloud data warehouse migration and validation
• Support data standards and modeling conventions
• Support dataset design for analytics and machine learning
• Use machine learning fundamentals for optimization

Perks/Benefits

• N/A

Skills/Tech-stack

Architecture Principles | Cloud Data | Cloud Data Warehouses | Data Architecture | Data Governance | Data Mining | Data Modeling | Data Pipeline Development | Data Quality | Data Standards | Data Visualization | Data Warehouses | Data architecture principles | Data pipeline | ELT | ETL | Machine Learning | Metadata Management | Pipeline Development | SQL