Senior Data Architect - Engineering (Only Hispanic Latam)

Tasks

• Advise data engineering teams
• Define data architecture
• Define data product engineering guidelines
• Design data consumption
• Design data models
• Design data pipelines
• Design data storage and processing
• Drive long term data strategy
• Ensure data observability
• Ensure data quality
• Ensure data security
• Evolve data architecture
• Identify platform modernization opportunities
• Implement data governance
• Review data architecture
• Set data standards
• Support machine learning use cases

Perks/Benefits

• Contractor role through Workana
• Full-time schedule
• Remote work

Skills/Tech-stack

Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Spark | Batch Processing | BigQuery | DBT | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Dimensional Modeling | Docker | Event Driven | Event-driven architecture | Feature Stores | GenAI | Google Cloud | Infrastructure as Code | Kafka | Kubernetes | Lakehouse | Language Models | Large Language Models | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Metadata Management | Microsoft Azure | NoSQL | Observability | Operational data | Operational data modeling | PostgreSQL | Python | SQL | Snowflake | Stream processing | Terraform | Vector Databases | Web Services | “as-code”