Senior Director of Data Engineering and Transformation
Tasks
- Build pipeline orchestration
- Create semantic layers
- Deliver governed data products
- Design ELT pipelines
- Design ETL pipelines
- Design scalable enterprise data architectures
- Develop and optimize data pipelines
- Develop data APIs
- Embed data governance
- Enable AI ready data structures
- Ensure compliance
- Ensure data quality
- Ensure data security
- Implement access controls
- Implement data ingestion
- Implement data lineage
- Implement data pipeline testing automation
- Implement data transformation
- Implement governed access patterns
- Lead data architecture teams
- Lead data engineering teams
- Lead platform engineering teams
- Manage metadata
- Mentor technical teams
- Modernize data architectures
- Modernize data platforms
- Provide production support
- Set up data pipeline monitoring
- Structure data for analytics and reporting
- Structure data for machine learning
Perks/Benefits
Skills/Tech-stack
AWS | Access Management | Artificial Intelligence | Automation | Azure | Business Intelligence | CI/CD | Cloud Data | Cloud data platform | Data Architecture | Data Engineering | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Transformation | Data Warehousing | Data mesh | Data orchestration | Data platform | DataOps | Databricks | DevOps | Distributed Systems | ELT | ETL | Feature Stores | Google Cloud | Lakehouse | Machine Learning | Metadata Management | Microsoft Fabric | Monitoring | Pipeline Orchestration | Production Support | Snowflake | Testing Automation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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