
Senior Cloud Data Architect
1 day ago
Position Overview:
We seek a seasoned data architect to design and implement large-scale cloud data solutions.
Key Responsibilities:
- Data Ingestion & Transformation: Architect and implement scalable data pipelines on Snowflake, leveraging data sharing, events, and lakehouse patterns.
- Data Migration & Optimization: Proven experience migrating data from relational databases to Snowflake, optimizing features for efficient data management.
- Data Virtualization & Query Acceleration: Hands-on expertise with Dremio for accelerating query performance, managing diverse data formats, and virtualizing data lakes.
Requirements:
- 8-12 Years of Experience: Seasoned professionals in data engineering with focus on cloud-based data platforms.
- Azure Databricks Expertise: Proficiency in Spark architecture and optimization, ensuring high-performance data processing.
- DWH/ODS & ETL Knowledge: Strong understanding of data warehousing, OLTP, and ETL concepts, including modeling structure principles.
- SQL Querying & ETL Validation: Experience writing SQL queries, validating ETL processes, and ensuring data integrity.
PREFERRED SKILLS:
- Azure Data Services: Proficiency in Azure data services, including data storage, analytics, and AI.
- Snowflake Data Warehousing: Expertise in Snowflake data warehousing, including SQL, Snowpipe, and data governance.
- Dremio: Hands-on experience with Dremio for data virtualization, query acceleration, and data governance.
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