
Cloud Data Architect
1 day ago
Job Overview
We are seeking a skilled Data Architect to design, develop, and optimize data pipelines and solutions using Snowflake.
The ideal candidate should have strong expertise in cloud-based data warehousing, SQL, ETL processes, and integration with modern data platforms.
Key Responsibilities:
- Design, develop, and maintain Snowflake-based data warehouse solutions.
- Create, optimize, and manage SQL queries, stored procedures, views, and UDFs in Snowflake.
- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and integration from various sources.
- Implement performance tuning, query optimization, and cost management in Snowflake.
- Manage role-based access controls, security, and governance within Snowflake.
- Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver scalable solutions.
- Integrate Snowflake with tools like Python, DBT, Talend, Informatica, Matillion, or Apache Spark.
- Work on cloud platforms such as AWS, Azure, or GCP for data migration and integration.
- Ensure data quality, consistency, and compliance across data systems.
Requirements:
- Proven experience as a Snowflake Developer / Data Engineer.
- Strong expertise in SQL, SnowSQL, and performance tuning.
- Hands-on experience with Snowpipe, Streams, Tasks, Stages, Warehouses, and Clustering.
- Experience with ETL/ELT tools (Informatica, Talend, DBT, Matillion, or similar).
- Good knowledge of cloud data platforms (AWS S3, Redshift, Glue, Lambda, Azure Data Factory, or GCP BigQuery).
- Familiarity with programming languages like Python, Scala, or Java.
- Strong understanding of data modeling, star schema, and dimensional modeling.
- Experience in version control (Git), CI/CD pipelines, and DevOps practices is a plus.
- Snowflake certification (SnowPro Core or Advanced) is a plus.
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