Data Analytics Architect
Skills
Data IntegrationMicrosoft AzureBatch ProcessingChange Data CaptureData GovernanceData IngestionDatabases
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Expertise in AWS, Azure, and GCP cloud platforms.
- Proficiency in Databricks and Snowflake for data analytics and warehousing.
- Strong knowledge of data engineering, ETL/ELT processes, and data integration tools.
Nice to have
- AWS Solutions Architect
- Azure SA Expert
- Google PCA
- Databricks Data Engineer
- SnowPro Certification
Day to day
- Design and implement cloud architectures.
- Develop and manage data pipelines and ETL processes.
- Leverage Databricks, Snowflake, and other data platforms for analytics and warehousing.
