
Data Solutions Architect
2 weeks ago
We are seeking a skilled Data Solutions Architect to lead the design and implementation of large-scale data solutions on Snowflake, leveraging expertise in Azure Data Services, Databricks, and data warehousing.
Main Responsibilities:
- Data Ingestion and Optimization: Design and implement data ingestion pipelines using Python/Java, ensuring efficient data loading into Snowflake.
- ETL Process Development: Develop and maintain ETL processes to transform data for analytical purposes.
- Data Migration and Sharing: Migrate data from relational databases to Snowflake, utilizing data sharing features for secure data exchange.
- Dremio Integration: Experience with Dremio for data lake query acceleration, data virtualization, and managing diverse data formats.
Requirements:
- A minimum of 8-12 years of experience in data architecture and engineering.
- Hands-on expertise with Azure Databricks, Spark architecture, and optimization techniques.
- Strong proficiency in data security, access controls, and governance within cloud-native data platforms.
- Prior experience working with cloud storage technologies like S3, Blob/ADLS, and Google Cloud Storage is desirable.
About the Role:
This is an exciting opportunity to join our team as a Data Solutions Architect, where you will be responsible for designing and implementing large-scale data solutions on Snowflake. If you have a strong background in data architecture and engineering, and are passionate about leveraging cutting-edge technologies to drive business growth, we encourage you to apply.
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