{"schemaVersion":"jobsearcher.job.v1","id":"48d6c982db60697c8d8355da","url":"https://jobsearcher.com/jobs/48d6c982db60697c8d8355da","canonicalUrl":"https://jobsearcher.com/jobs/48d6c982db60697c8d8355da","title":"Senior Data Engineer","description":"Salary: USD65 - USD75 per hourOur client is seeking a highly skilledSenior Data Engineer / Data Architectto assess, modernize, and optimize an enterprise data platform supporting critical business operations and analytics initiatives.This position is ideal for a seasoned data professional who combines hands-on engineering expertise with architectural leadership. The successful candidate will evaluate existing data lake architecture, develop modernization strategies, implement governance best practices, and help drive the future state of a scalable, secure, and enterprise-ready data ecosystem.You will collaborate with business stakeholders, technology teams, and leadership while serving as a technical mentor and trusted advisor on data architecture, governance, integration, analytics, and cloud data platform strategy.Key Responsibilities\r\nData Architecture & Platform StrategyAssess and evaluate existing enterprise data lake architecture, including ingestion, transformation, storage, security, lineage, and reporting layersDevelop target-state architecture recommendations and modernization roadmapsDesign scalable solutions leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), OneLake, and Power BIRecommend best practices for performance, scalability, governance, monitoring, and operational readinessLead architectural reviews and present recommendations to technical and business stakeholdersDesign, develop, and maintain enterprise-grade ETL/ELT pipelinesBuild reliable and scalable data ingestion and transformation processesSupport lakehouse, data warehouse, and semantic modeling initiativesOptimize data integration workflows, query performance, and data processing efficiencyDevelop trusted reporting datasets and analytics-ready data productsData Governance & QualityEstablish and maintain enterprise data governance frameworksImplement metadata management, data cataloging, lineage, and business glossary standardsDefine and enforce data quality controls, validation procedures, and monitoring processesSupport data classification, sensitivity labeling, retention requirements, and audit readinessEnsure compliance with security, privacy, and governance policiesAnalytics & Reporting EnablementSupport Power BI semantic models, reporting architectures, and self-service analytics initiativesCollaborate with analysts and business teams to deliver trusted data solutionsImprove data accessibility while maintaining governance and security standardsTechnical Leadership & MentorshipServe as a technical leader for data engineering and architecture initiativesProvide mentoring, code reviews, and design guidance to engineers and BI professionals\r\nDevelop standards, documentation, architecture diagrams, and operational runbooksPromote best practices across development, testing, deployment, and support processesPreferred Technical Environment\r\nMicrosoft Data PlatformMicrosoft FabricOneLakePower BIPower AutomateMicrosoft PurviewData Engineering & ArchitectureData Lakes & Lakehouse ArchitecturesEnterprise Data WarehousingDimensional ModelingSemantic ModelingMetadata ManagementData GovernanceETL/ELT DevelopmentAdvanced SQLData Quality & ReconciliationDevOps & Platform OperationsGit-Based Source ControlRelease ManagementDeployment AutomationMonitoring & AlertingRollback PlanningAdditional Preferred ExperienceSnowflake Architecture & AdministrationSecure Data SharingQuery Performance OptimizationResource Monitoring & Cost OptimizationCloud Data Platform EvaluationsRequired QualificationsBachelor's degree in Computer Science, Information Systems, Information Technology, or related field7+ years of experience in Data Engineering, Data Architecture, Business Intelligence Engineering, or Enterprise Data PlatformsStrong experience with Microsoft Fabric, Azure Synapse, ADLS Gen2, Power BI, Microsoft Purview, and Azure data servicesExpertise in enterprise data lake, lakehouse, and data warehouse architecturesAdvanced SQL development and performance tuning experienceExperience designing and implementing enterprise data governance frameworksStrong understanding of metadata management, data lineage, cataloging, and data quality controlsExperience leading architecture assessments, roadmap planning, and modernization initiativesExcellent troubleshooting, problem-solving, and documentation skillsStrong communication skills with the ability to present complex technical concepts to both technical and non-technical audiencesExperience mentoring engineers, analysts, and technical teamsPreferred QualificationsMicrosoft Fabric Data Engineer AssociateMicrosoft Fabric Analytics Engineer AssociateAzure Solutions Architect ExpertMicrosoft Power BI Data Analyst AssociateMicrosoft Purview or Data Governance certificationsAzure Data Fundamentals or Security certificationsSnowflake SnowPro certificationsExperience comparing and evaluating Microsoft and Snowflake data platformsKnowledge of data privacy, governance, security, and compliance frameworksExperience in highly regulated enterprise environmentsWhat Makes This Opportunity AttractiveLead enterprise-wide data architecture and modernization initiativesSignificant influence over future-state data platform strategyExposure to Microsoft Fabric and modern cloud analytics technologiesOpportunity to establish governance standards and engineering best practicesHigh visibility role partnering with business and technology leadershipCollaborative environment with strong focus on innovation, scalability, and long-term data strategy#J-18808-Ljbffr","company":"Ledgent Technology","rawCompany":"ledgent technology","city":"Pasadena","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-14T02:15:01.408Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software 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The successful candidate will evaluate existing data lake architecture, develop modernization strategies, implement governance best practices, and help drive the future state of a scalable, secure, and enterprise-ready data ecosystem.You will collaborate with business stakeholders, technology teams, and leadership while serving as a technical mentor and trusted advisor on data architecture, governance, integration, analytics, and cloud data platform strategy.Key Responsibilities\r\nData Architecture & Platform StrategyAssess and evaluate existing enterprise data lake architecture, including ingestion, transformation, storage, security, lineage, and reporting layersDevelop target-state architecture recommendations and modernization roadmapsDesign scalable solutions leveraging Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), OneLake, and Power BIRecommend best practices for performance, scalability, governance, monitoring, and operational readinessLead architectural reviews and present recommendations to technical and business stakeholdersDesign, develop, and maintain enterprise-grade ETL/ELT pipelinesBuild reliable and scalable data ingestion and transformation processesSupport lakehouse, data warehouse, and semantic modeling initiativesOptimize data integration workflows, query performance, and data processing efficiencyDevelop trusted reporting datasets and analytics-ready data productsData Governance & QualityEstablish and maintain enterprise data governance frameworksImplement metadata management, data cataloging, lineage, and business glossary standardsDefine and enforce data quality controls, validation procedures, and monitoring processesSupport data classification, sensitivity labeling, retention requirements, and audit readinessEnsure compliance with security, privacy, and governance policiesAnalytics & Reporting EnablementSupport Power BI semantic models, reporting architectures, and self-service analytics initiativesCollaborate with analysts and business teams to deliver trusted data solutionsImprove data accessibility while maintaining governance and security standardsTechnical Leadership & MentorshipServe as a technical leader for data engineering and architecture initiativesProvide mentoring, code reviews, and design guidance to engineers and BI professionals\r\nDevelop standards, documentation, architecture diagrams, and operational runbooksPromote best practices across development, testing, deployment, and support processesPreferred Technical Environment\r\nMicrosoft Data PlatformMicrosoft FabricOneLakePower BIPower AutomateMicrosoft PurviewData Engineering & ArchitectureData Lakes & Lakehouse ArchitecturesEnterprise Data WarehousingDimensional ModelingSemantic ModelingMetadata ManagementData GovernanceETL/ELT DevelopmentAdvanced SQLData Quality & ReconciliationDevOps & Platform OperationsGit-Based Source ControlRelease ManagementDeployment AutomationMonitoring & AlertingRollback PlanningAdditional Preferred ExperienceSnowflake Architecture & AdministrationSecure Data SharingQuery Performance OptimizationResource Monitoring & Cost OptimizationCloud Data Platform EvaluationsRequired QualificationsBachelor's degree in Computer Science, Information Systems, Information Technology, or related field7+ years of experience in Data Engineering, Data Architecture, Business Intelligence Engineering, or Enterprise Data PlatformsStrong experience with Microsoft Fabric, Azure Synapse, ADLS Gen2, Power BI, Microsoft Purview, and Azure data servicesExpertise in enterprise data lake, lakehouse, and data warehouse architecturesAdvanced SQL development and performance tuning experienceExperience designing and implementing enterprise data governance frameworksStrong understanding of metadata management, data lineage, cataloging, and data quality controlsExperience leading architecture assessments, roadmap planning, and modernization initiativesExcellent troubleshooting, problem-solving, and documentation skillsStrong communication skills with the ability to present complex technical concepts to both technical and non-technical audiencesExperience mentoring engineers, analysts, and technical teamsPreferred QualificationsMicrosoft Fabric Data Engineer AssociateMicrosoft Fabric Analytics Engineer AssociateAzure Solutions Architect ExpertMicrosoft Power BI Data Analyst AssociateMicrosoft Purview or Data Governance certificationsAzure Data Fundamentals or Security certificationsSnowflake SnowPro certificationsExperience comparing and evaluating Microsoft and Snowflake data platformsKnowledge of data privacy, governance, security, and compliance frameworksExperience in highly regulated enterprise environmentsWhat Makes This Opportunity AttractiveLead enterprise-wide data architecture and modernization initiativesSignificant influence over future-state data platform strategyExposure to Microsoft Fabric and modern cloud analytics technologiesOpportunity to establish governance standards and engineering best practicesHigh visibility role partnering with business and technology leadershipCollaborative environment with strong focus on innovation, scalability, and long-term data strategy#J-18808-Ljbffr","datePosted":"2026-10-14T02:15:01.408Z","dateModified":"2026-10-14T02:15:01.408Z","hiringOrganization":{"@type":"Organization","name":"Ledgent Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pasadena","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"48d6c982db60697c8d8355da"},"url":"https://jobsearcher.com/jobs/48d6c982db60697c8d8355da"}}