{"schemaVersion":"jobsearcher.job.v1","id":"c6b2d7c365084d8c6f78e201","url":"https://jobsearcher.com/jobs/c6b2d7c365084d8c6f78e201","canonicalUrl":"https://jobsearcher.com/jobs/c6b2d7c365084d8c6f78e201","title":"Data Engineer IV (Remote)","description":"*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*\nROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.\nThis is hands-on engineering position requiring the ability evaluate execution layer code.\n\nData Engineer IV\nPosition Summary\nThe Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.\nPrincipal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.\nThis position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.\nEssential Functions:\nOwn the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.\nDesign scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.\nLead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.\nDefine and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.\nCreate reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.\nSolve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.\nGuide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.\nPartner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·\nInfluence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.\nMentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.\nBasic Qualifications:\nBachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).\n10+ years experience in data engineering, data architecture, or distributed systems engineering.\nProven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.\nExpert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.\nDeep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.\nExperience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.\nStrong grounding in security, compliance, data privacy, and regulatory data handling.","company":"Roi Agency","rawCompany":"roi agency","isRemote":true,"isActive":false,"createdAt":"2026-08-15T13:02:19.284Z","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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer IV (Remote)","description":"*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*\nROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.\nThis is hands-on engineering position requiring the ability evaluate execution layer code.\n\nData Engineer IV\nPosition Summary\nThe Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.\nPrincipal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.\nThis position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.\nEssential Functions:\nOwn the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.\nDesign scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.\nLead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.\nDefine and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.\nCreate reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.\nSolve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.\nGuide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.\nPartner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·\nInfluence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.\nMentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.\nBasic Qualifications:\nBachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).\n10+ years experience in data engineering, data architecture, or distributed systems engineering.\nProven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.\nExpert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.\nDeep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.\nExperience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.\nStrong grounding in security, compliance, data privacy, and regulatory data handling.","datePosted":"2026-08-15T13:02:19.284Z","dateModified":"2026-08-15T13:02:19.284Z","hiringOrganization":{"@type":"Organization","name":"Roi Agency","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c6b2d7c365084d8c6f78e201"},"url":"https://jobsearcher.com/jobs/c6b2d7c365084d8c6f78e201"}}