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Senior, niche Snowflake+ADF migration role reduces candidate density despite metro location.
Snowflake- and migration-specific expertise limits cross-industry transferability, increasing sensitivity.
Explicit 10–13 years and mandatory Snowflake/ADF migration experience enforce strict shortlisting filters.
Lead enterprise-scale migration of data pipelines and workloads from Azure Data Factory (ADF) to Snowflake, re-engineering ELT/ETL logic into Snowflake-native architectures using Snowpipe, Streams & Tasks, and dbt.
Define Snowflake architecture strategies, technical standards, and implementation roadmaps to enhance data platform scalability, security, cost-efficiency, and performance.
Manage Snowflake compute/storage usage and collaborate with cross-functional teams to ensure migration aligns with business requirements and operational goals.
10–13 years of data engineering or architecture experience with at least 4–5 years of hands-on Snowflake architecture and administration.
Proven experience migrating pipelines and workloads from Azure Data Factory to Snowflake and re-engineering ELT/ETL logic into Snowflake-native pipelines.
Strong SQL skills, hands-on experience with ELT/ETL tools (Informatica, dbt, Matillion, Talend, or ADF), and working knowledge of at least one cloud platform (AWS, Azure, or GCP).
Bachelor's degree in Computer Science, IT, Engineering, Data Engineering, or related field; equivalent professional experience acceptable.
Experienced technical leader with ability to translate complex business requirements into scalable Snowflake architectures and practical migration plans.
Deep expertise in dimensional modeling, data vault, and enterprise data warehouse design principles with demonstrated success in enterprise-scale data platform modernization.
Proven collaboration skills with diverse teams including data engineers, cloud, security, application, and business stakeholders delivering secure, performant, and cost-optimized Snowflake data platforms.