Sr Data Platform Engineer (Snowflake To Fabric)

You are a highly skilled Senior Data Platform Engineer who will lead the migration of enterprise data platforms from Snowflake to Microsoft Fabric. Your deep expertise in modern data architectures, cloud-based data platforms, and large-scale migration initiatives will be essential for this role. You will design the target Fabric architecture, rebuild data pipelines, migrate and validate data assets, and ensure a seamless cutover with minimal business disruption. This opportunity allows you to collaborate closely with engineering, analytics, BI, and business stakeholders, driving a strategic data modernization program and mentoring other engineers throughout the migration journey. - Plan & design the migration: - Inventory Snowflake assets - Define Fabric target architecture (OneLake, Lakehouse/Warehouse, Data Factory, workspaces) - Migrate data & pipelines: - Rebuild ETL/ELT - Handle backfill and incremental/CDC loads - Refactor Snowflake SQL/tasks into Fabric-native patterns - Ensure quality & cutover: - Reconciliation (row counts, metrics, business rules) - Phased migration waves, parallel run, rollback plans - Security & governance: - Move Snowflake RBAC to Entra ID + Fabric permissions - Implement lineage/classification (e.g. Purview) - Lead stakeholders: - Work with engineering, analytics, BI, and business teams - Mentor engineers - Report progress and risks Preferred candidate profile: - 8+ years in data engineering; 3+ years senior/lead - Deep Snowflake and hands-on Microsoft Fabric (Data Factory, Lakehouse/Warehouse, OneLake, Notebooks) - Proven large-scale migration experience (not greenfield only) - Strong SQL (Snowflake + T-SQL), CI/CD, data modeling, reconciliation, and stakeholder communication You are a highly skilled Senior Data Platform Engineer who will lead the migration of enterprise data platforms from Snowflake to Microsoft Fabric. Your deep expertise in modern data architectures, cloud-based data platforms, and large-scale migration initiatives will be essential for this role. You will design the target Fabric architecture, rebuild data pipelines, migrate and validate data assets, and ensure a seamless cutover with minimal business disruption. This opportunity allows you to collaborate closely with engineering, analytics, BI, and business stakeholders, driving a strategic data modernization program and mentoring other engineers throughout the migration journey. - Plan & design the migration: - Inventory Snowflake assets - Define Fabric target architecture (OneLake, Lakehouse/Warehouse, Data Factory, workspaces) - Migrate data & pipelines: - Rebuild ETL/ELT - Handle backfill and incremental/CDC loads - Refactor Snowflake SQL/tasks into Fabric-native patterns - Ensure quality & cutover: - Reconciliation (row counts, metrics, business rules) - Phased migration waves, parallel run, rollback plans - Security & governance: - Move Snowflake RBAC to Entra ID + Fabric permissions - Implement lineage/classification (e.g. Purview) - Lead stakeholders: - Work with engineering, analytics, BI, and business teams - Mentor engineers - Report progress and risks Preferred candidate profile: - 8+ years in data engineering; 3+ years senior/lead - Deep Snowflake and hands-on Microsoft Fabric (Data Factory, Lakehouse/Warehouse, OneLake, Notebooks) - Proven large-scale migration experience (not greenfield only) - Strong SQL (Snowflake + T-SQL), CI/CD, data modeling, reconciliation, and stakeholder communication