
Leading Cloud Data Architect
16 hours ago
We are seeking an experienced professional to lead the implementation of large-scale data solutions.
- Azure Data Services
- Data Bricks
- Snowflake data warehousing, including SQL and Snow pipe
The ideal candidate will have a strong background in cloud-based data warehousing and hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, Big Data model techniques using Python/Java, and proven experience architecting and implementing large-scale data solutions on Snowflake.
Key responsibilities include:
- Architecting and implementing large-scale data solutions on Snowflake
- Proficiency in Azure Databricks, including Spark architecture and optimization
- Experience migrating data from relational databases to Snowflake and optimizing Snowflake's features such as data sharing, events, and lakehouse patterns
- Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
- Hands-on expertise with Dremio for data lake query acceleration, data virtualization, and managing diverse data formats (e.g., JSON, XML, CSV)
- Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
- Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
- Knowledge of data security, access controls, and governance within cloud-native data platforms like Snowflake and Dremio
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