Associate Director, Global Data Engineering
Tasks
- Architect scalable cloud data platforms
- Collaborate with stakeholders vendors and managed service providers
- Define data engineering analytics and AI platform roadmap
- Enable governed self service analytics and data democratization
- Ensure solutions align with security compliance scalability performance and cost
- Establish architectural standards and reference architectures
- Implement Databricks lakehouse governance and AI enablement
- Implement data ingestion transformation storage governance analytics and AI frameworks
- Lead data preparation feature engineering and model operationalization
- Lead global data engineering teams
- Present technology strategy and architecture decisions to executives
- Provide technical leadership for modern AI machine learning and GenAI
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Airflow | Apache Spark | Athena | CI/CD | Data Governance | Data Lake | Data Management | Data Modeling | Data Quality | Data Vault | Data Warehouse | Data mesh | Databricks | Databricks SQL | Databricks Workflows | Delta Lake | Denormalization | Dimensional Modeling | Distributed Computing | DynamoDB | EC2 | ELT | EMR | ETL | Embeddings | Event Driven | Event-driven architecture | Feature Engineering | Generative AI | Git | Glue | Graph Data | Informatica | Java | Kinesis | Lakehouse | Lambda | Lifecycle Management | Machine Learning | Master Data | Master Data Management | Metadata Management | Model Lifecycle | Model Lifecycle Management | Model operationalization | Normalization | Power BI | Python | RDS | Redshift | Responsible AI | Retrieval-Augmented Generation | S3 | SQL | Scala | Streaming Architecture | Tableau | Unity Catalog | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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