Data Analytics Architect

Skills
Data IntegrationMicrosoft AzureBatch ProcessingChange Data CaptureData GovernanceData IngestionDatabases
Role

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.