Snowflake Modeler/Developer

Job Overview We are looking for a skilled Snowflake Architect/Modeler with 5-7 years of experience to lead the design and implementation of scalable data solutions on the Snowflake platform hosted on Azure. In this role, you will architect data pipelines adhering to the Medallion Architecture (Bronze, Silver, Gold layers), research legacy source systems, and create optimized data models to enable robust analytics and business intelligence. The ideal candidate excels in translating complex business requirements into technical designs, with a strong emphasis on data governance, performance, and seamless integration with Azure services. This position offers the chance to drive data modernization initiatives in a collaborative, Azurecentric environment. Key Responsibilities Architect comprehensive Snowflake solutions following the Medallion Architecture framework, including ingestion into Bronze (raw), transformation to Silver (refined), and curation into Gold (aggregated) layers. Research and analyze source systems (e.G., onpremises databases, SaaS applications) to document tables, columns, relationships, and underlying business logic in existing data processing workflows. Design Snowflakecompatible data models using Erwin for conceptual, logical, and physical modeling; generate DDL scripts; and create detailed sourcetotarget mappings for ETL/ELT processes. Develop and optimize data ingestion pipelines using Snowflake features such as Snowpipe for continuous loading, Streams for change data capture, Tasks for scheduling, and Dynamic Tables for materialization. Collaborate with stakeholders, data engineers, and Azure teams to define requirements, ensure data lineage, and implement secure, compliant data flows integrated with Azure services like Azure Data Factory, Synapse, and Blob Storage. Perform data quality assessments, performance tuning, and optimization of queries and warehouses to support highvolume analytics on Azure. Lead data migration and modernization projects from legacy systems to Snowflake on Azure, ensuring minimal downtime and adherence to best practices. Document architectures, mappings, and designs; conduct peer reviews; and mentor junior team members on Snowflake and Azure integrations. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5-7 years of experience in data architecture, modeling, and engineering, with at least 3 years handson with Snowflake on Azure. Expertise in Medallion Architecture implementation, including layering strategies for data ingestion, transformation, and consumption. Proven ability to reverseengineer source systems, capturing metadata (tables, columns) and business rules for accurate data modeling. Proficiency in data modeling tools like Erwin for designing relational and dimensional models; experience generating DDLs and creating sourcetotarget mapping documents. Strong handson experience designing and developing Snowflake native features: Snowpipe, Streams, Tasks, Time Travel, and clustering for Azurehosted environments. Indepth knowledge of SQL for advanced querying, optimization, and AzureSnowflake integrations (e.G., Azure AD for authentication, external stages). Familiarity with Azure ecosystem, including Data Lake, Synapse Analytics, and security/compliance standards (e.G., Azure Sentinel, GDPR). Preferred Qualifications Experience with ETL/ELT tools like dbt, Matillion, or Azure Data Factory for orchestrating pipelines in a Medallion setup. Background in big data technologies (e.G., Spark on Azure Databricks) integrated with Snowflake. Snowflake certifications (e.G., SnowPro Core, Advanced Architect) and Azure certifications (e.G., DP203: Data Engineering on Microsoft Azure). Knowledge of data governance tools like Collibra or Alation for lineage and cataloging in Azure environments. Technical Skills Core: Snowflake (Snowpipe, Streams, Tasks, Medallion Architecture), SQL, Data Modeling (Erwin, DDLs, SourcetoTarget Mapping) Azure Integration: Azure Data Factory, Synapse, Blob Storage, ADLS Gen2, Azure AD Tools & Technologies: dbt, Fivetran; Reverse Engineering (e.G., SQL Server, Oracle sources) Concepts: Data Lineage, Performance Optimization, Security (RBAC, Encryption), ELT Pipelines Soft Skills Exceptional communication skills to articulate complex technical concepts to nontechnical stakeholders and facilitate crossteam collaboration. Proven track record of timely delivery on projects, with strong organizational skills and the ability to manage multiple priorities in a fastpaced Azure environment. Analytical problemsolver with attention to detail and a proactive mindset for innovation. Interested candidates kindly Email at