Azure Snowflake Architect & Data Modeler

xCroTek; Snowflake (AZ); On-site; USD 120,000 - 150,000; Full time

Job summary

xCroTek is seeking a skilled Snowflake Architect/Modeler with 5-7 years of experience to lead the design of data solutions on the Snowflake platform. The ideal candidate will architect data pipelines, ensuring integration with Azure services and data governance. Responsibilities include developing scalable Snowflake solutions following the Medallion Architecture, performing data quality assessments, and leading data migration projects. Interested candidates should apply via [e-mail].

Qualifications

• 5-7 years of experience in data architecture, modeling, and engineering, with at least 3 years hands‑on with Snowflake on Azure.
• Expertise in Medallion Architecture implementation, including layering strategies for data ingestion, transformation, and consumption.
• Strong hands-on experience designing and developing Snowflake native features: Snowpipe, Streams, Tasks, Time Travel, and clustering for Azure-hosted environments.

Responsibilities

• Architect comprehensive Snowflake solutions following the Medallion Architecture framework.
• Research and analyse source systems to document tables, columns, relationships, and underlying business logic.
• Develop and optimise data ingestion pipelines using Snowflake features.

Skills

Snowflake (Snowpipe, Streams, Tasks, Medallion Architecture)

SQL

Data Modeling (Erwin, DDLs, Source-to-Target Mapping)

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Tools

dbt

Azure Data Factory

Job description

xCroTek is seeking a skilled Snowflake Architect/Modeler with 5-7 years of experience to lead the design of data solutions on the Snowflake platform. The ideal candidate will architect data pipelines, ensuring integration with Azure services and data governance. Responsibilities include developing scalable Snowflake solutions following the Medallion Architecture, performing data quality assessments, and leading data migration projects. Interested candidates should apply via [e-mail].