Lead Data Platform Engineer (LATAM)
Tasks
- Define technical standards and mentor engineering teams
- Design lakehouse architectures with Informatica IDMC and Databricks Lakehouse
- Drive lakehouse Medallion Architecture and Data Mesh adoption
- Enable AI capabilities with CLAIRE Agents and AI Agent Engineering
- Implement data governance metadata management data catalog data quality
- Lead end to end data platform design and modernization
- Lead legacy data platform migration
- Manage FinOps strategy optimize cloud costs
- Modernize workloads to Databricks using Delta Lake
- Serve as technical lead for clients and enterprise architects
Perks/Benefits
Skills/Tech-stack
AI Agent | AI agent engineering | AWS | AWS Glue | AWS Lake Formation | AWS Step Functions | Agent Engineering | Airflow | Amazon Athena | Amazon Bedrock | Amazon Redshift | Amazon SageMaker | Apache Cloud Mass Ingestion | Apache Spark | Azure | Azure AKS | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Key Vault | Azure Purview | Azure Synapse | Azure Synapse Analytics | CI/CD | CLAIRE Agents | Cloud Data Governance and Catalog | Cloud Mass Ingestion | CloudFormation | Command Center | DBT | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Quality | Data mesh | Databricks Lakehouse | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | FinOps | Informatica CDI | Informatica Cloud | Informatica Cloud Data Governance | Informatica Cloud Data Governance and Catalog | Informatica IDMC | Informatica Intelligent Data Quality | Key Vault | Lake Formation | Lakehouse Architecture | Mass Ingestion | Medallion Architecture | Metadata Command Center | Metadata Management | Photon | PowerCenter | Step Functions | Synapse Analytics | Terraform | Unity Catalog
Education
N/A
Regions
States
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