Databrick Practice Lead
Guadalajara, Jal., Mexico
MXN 789K-986K (estimate) Senior-level Full Time
Tasks
- Conduct technical discovery sessions and architecture reviews
- Define technical standards and best practices
- Design enterprise data platform architectures
- Drive Databricks practice growth
- Drive lakehouse and delta lake adoption
- Establish ETL ELT standards
- Implement data engineering governance and security
- Lead pre sales solution design and proof of concept
- Mentor data engineers and solution architects
- Optimize data quality monitoring and performance
- Provide technical leadership across client engagements
- Stay current with Databricks and emerging technologies
- Support project planning and technical risk management
Perks/Benefits
- Employee referral bonus
- Grocery vouchers
- Health insurance
- Paid Certifications and Courses
- Paid time off
- Savings fund
Skills/Tech-stack
Agile | Apache Airflow | Apache Kafka | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Event | Azure Event Hubs | Azure Key Vault | Cloud Architecture | Compliance | Dagster | Data Factory | Data Governance | Data Lake Storage | Data Quality | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Event Hubs | Key Vault | Lakehouse | Metadata Management | Microsoft Azure | Object-Oriented | Object-oriented programming | PySpark | Python | SQL | Security | Unity Catalog
Education
N/A
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