What are the responsibilities and job description for the Data Technical Lead (Microsoft Fabric) position at Jobs via Dice?
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JOB DESCRIPTION:
Lead end-to-end delivery on Microsoft Fabric OneLake Lakehouse Data Pipelines Synapse in Fabric Power BI setting reference patterns and engineering standards
Drive performance optimization across lakehouse and BI layers star schema modeling DAX Power BI model tuning query folding incremental refresh partitioningcaching and load testing to meet SLASLO targets
Own NFR management realization scalability reliability securitycompliance costFinOps data quality define SLOscapacity plans implement monitoringalerting Fabric monitoring Log Analytics and resilience testing
Architect Domina and data products delivered through medallion architecture should have implementation awareness of Data Governance Lineage and Data Cataloging champion CICD Fabric Git integration environment strategy and release governance
Provide technical leadership to squads designcode reviews solution spikes performance deepdives and remove delivery blockers in collaboration with Cloud Ops InfoSec Networking
Translate business goals into technical roadmaps manage risks dependencies milestones communicate progress to senior stakeholders
Nice to have
PC insurance domain fluency policyclaimsbilling data loss triangles regulatorymarket conduct reporting to accelerate solution design
Enterprise data strategy program management road mapping backlogprioritization estimationbudget vendor management apply data meshmedallion patterns and align with enterprise architecture.
JOB DESCRIPTION:
Lead end-to-end delivery on Microsoft Fabric OneLake Lakehouse Data Pipelines Synapse in Fabric Power BI setting reference patterns and engineering standards
Drive performance optimization across lakehouse and BI layers star schema modeling DAX Power BI model tuning query folding incremental refresh partitioningcaching and load testing to meet SLASLO targets
Own NFR management realization scalability reliability securitycompliance costFinOps data quality define SLOscapacity plans implement monitoringalerting Fabric monitoring Log Analytics and resilience testing
Architect Domina and data products delivered through medallion architecture should have implementation awareness of Data Governance Lineage and Data Cataloging champion CICD Fabric Git integration environment strategy and release governance
Provide technical leadership to squads designcode reviews solution spikes performance deepdives and remove delivery blockers in collaboration with Cloud Ops InfoSec Networking
Translate business goals into technical roadmaps manage risks dependencies milestones communicate progress to senior stakeholders
Nice to have
PC insurance domain fluency policyclaimsbilling data loss triangles regulatorymarket conduct reporting to accelerate solution design
Enterprise data strategy program management road mapping backlogprioritization estimationbudget vendor management apply data meshmedallion patterns and align with enterprise architecture.