{"schemaVersion":"jobsearcher.job.v1","id":"6ab7d4b518e0502f736fe733","url":"https://jobsearcher.com/jobs/6ab7d4b518e0502f736fe733","canonicalUrl":"https://jobsearcher.com/jobs/6ab7d4b518e0502f736fe733","title":"Netezza Migration Engineer - Azure (Remote)","description":"Kforce's client is seeking a remote hands-on Netezza Migration Engineer to support the migration and modernization of Netezza workloads onto Microsoft Azure. This role will assess existing environments, migrate large-scale datasets, convert SQL and database objects, validate data, and optimize performance in the Azure data platform.Responsibilities:Assess existing Netezza environments, including schemas, tables, views, stored procedures, functions, data volumes, workloads, dependencies, and performance characteristicsDevelop migration plans for moving Netezza data warehouse workloads to AzureAnalyze Netezza-specific architecture, including distribution keys, organize keys, zone maps, data skew, and workload patternsConvert Netezza SQL, DDL, views, stored procedures, and scripts into Azure-compatible SQL or modernized ELT patternsDesign and execute data extraction, staging, loading, reconciliation, and validation processesBuild or support migration pipelines using Azure Data Factory, Synapse Pipelines, Databricks, or equivalent toolingValidate migrated data using row counts, checksums, hash totals, control totals, sampling, and business-rule validationTune performance in the target Azure environment, including distribution strategy, partitioning, statistics, indexing, query optimization, and workload managementPartner with architects, DBAs, data engineers, application teams, and client stakeholders to identify migration risks and remediation needsSupport test cycles, production cutover, rollback planning, and post-migration stabilizationDocument migration approach, technical decisions, runbooks, data validation results, and operational handoff materials* Strong hands-on experience with IBM Netezza / Netezza Performance ServerStrong knowledge of Netezza SQL, NZSQL, DDL, stored procedures, functions, views, and utilitiesExperience with large-scale data warehouse migration or modernizationExperience with Azure Synapse Analytics, Azure Data Factory, Synapse Pipelines, Azure Data Lake Storage Gen2, or Azure DatabricksStrong SQL development and SQL performance tuning skillsExperience with bulk data movement, parallel loads, incremental loads, and data reconciliationAbility to identify and remediate SQL compatibility gaps between Netezza and Azure target platformsStrong understanding of data warehouse concepts, including fact/dimension models, partitioning, distribution, workload management, and query optimizationExperience creating migration runbooks, validation plans, and cutover plansStrong communication skills and ability to work with client technical teams and business stakeholdersPreferred:Experience migrating Netezza to Azure Synapse AnalyticsExperience with T-SQL, Synapse dedicated SQL pools, serverless SQL, or Microsoft FabricExperience with Python, PySpark, shell scripting, or automation frameworksExperience with legacy ETL tools such as IBM DataStage, Informatica, SSIS, Control-M, Autosys, or Unix shell scriptsExperience with data governance, data lineage, security, PII/PHI, encryption, RBAC, and private networking in AzureExperience supporting production cutovers with limited downtimeExperience in regulated enterprise environments such as financial services, healthcare, insurance, or telecommunications","company":"Kforce","rawCompany":"kforce","city":"Armonk","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-06-25T00:13:59.337Z","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 Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Netezza Migration Engineer - Azure (Remote)","description":"Kforce's client is seeking a remote hands-on Netezza Migration Engineer to support the migration and modernization of Netezza workloads onto Microsoft Azure. This role will assess existing environments, migrate large-scale datasets, convert SQL and database objects, validate data, and optimize performance in the Azure data platform.Responsibilities:Assess existing Netezza environments, including schemas, tables, views, stored procedures, functions, data volumes, workloads, dependencies, and performance characteristicsDevelop migration plans for moving Netezza data warehouse workloads to AzureAnalyze Netezza-specific architecture, including distribution keys, organize keys, zone maps, data skew, and workload patternsConvert Netezza SQL, DDL, views, stored procedures, and scripts into Azure-compatible SQL or modernized ELT patternsDesign and execute data extraction, staging, loading, reconciliation, and validation processesBuild or support migration pipelines using Azure Data Factory, Synapse Pipelines, Databricks, or equivalent toolingValidate migrated data using row counts, checksums, hash totals, control totals, sampling, and business-rule validationTune performance in the target Azure environment, including distribution strategy, partitioning, statistics, indexing, query optimization, and workload managementPartner with architects, DBAs, data engineers, application teams, and client stakeholders to identify migration risks and remediation needsSupport test cycles, production cutover, rollback planning, and post-migration stabilizationDocument migration approach, technical decisions, runbooks, data validation results, and operational handoff materials* Strong hands-on experience with IBM Netezza / Netezza Performance ServerStrong knowledge of Netezza SQL, NZSQL, DDL, stored procedures, functions, views, and utilitiesExperience with large-scale data warehouse migration or modernizationExperience with Azure Synapse Analytics, Azure Data Factory, Synapse Pipelines, Azure Data Lake Storage Gen2, or Azure DatabricksStrong SQL development and SQL performance tuning skillsExperience with bulk data movement, parallel loads, incremental loads, and data reconciliationAbility to identify and remediate SQL compatibility gaps between Netezza and Azure target platformsStrong understanding of data warehouse concepts, including fact/dimension models, partitioning, distribution, workload management, and query optimizationExperience creating migration runbooks, validation plans, and cutover plansStrong communication skills and ability to work with client technical teams and business stakeholdersPreferred:Experience migrating Netezza to Azure Synapse AnalyticsExperience with T-SQL, Synapse dedicated SQL pools, serverless SQL, or Microsoft FabricExperience with Python, PySpark, shell scripting, or automation frameworksExperience with legacy ETL tools such as IBM DataStage, Informatica, SSIS, Control-M, Autosys, or Unix shell scriptsExperience with data governance, data lineage, security, PII/PHI, encryption, RBAC, and private networking in AzureExperience supporting production cutovers with limited downtimeExperience in regulated enterprise environments such as financial services, healthcare, insurance, or telecommunications","datePosted":"2026-06-25T00:13:59.337Z","dateModified":"2026-06-25T00:13:59.337Z","hiringOrganization":{"@type":"Organization","name":"Kforce","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Armonk","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ab7d4b518e0502f736fe733"},"url":"https://jobsearcher.com/jobs/6ab7d4b518e0502f736fe733"}}