{"schemaVersion":"jobsearcher.job.v1","id":"fe7b392fd6fd6aef881ae266","url":"https://jobsearcher.com/jobs/fe7b392fd6fd6aef881ae266","canonicalUrl":"https://jobsearcher.com/jobs/fe7b392fd6fd6aef881ae266","title":"Lead Data Architect","description":"Lead Data Architect\nLocation: Remote, US based\nPosition type: Full Time Employee\nCompensation: $190.000 (base + bonus)\n\nJob Summary\n\nData Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.\n\nPosition Summary\nThe Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client’s data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.\nThe position will work closely with the client’s engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.\n\nKey Responsibilities:\nLead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)\nDesign the future-state data platform architecture following modern ELT and dbt best practices\nDefine standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality\nLead the migration of transformation logic into dbt models\nDefine architectural patterns for: staging layers, intermediate layers, data marts\nImplement automated testing frameworks within dbt\nLead discovery sessions and technical workshops with the client’s data engineering teams\nDocument architecture, pipelines, and operational processes\nConduct architecture walkthrough sessions during knowledge transfer phases\nDefine standards for CI/CD, monitoring frameworks, and data quality validation\nEstablish schema management and governance best practices\nOptimize Snowflake compute usage and platform performance\nDesign scalable orchestration strategies for Airflow pipelines\nImprove platform reliability, monitoring, and operational observability\n\nRequired Skills & Qualifications:\nAdvanced / fluent English\n10+ years of experience in Data Engineering or Data Architecture\nStrong experience designing and implementing modern data platforms\nExpert-level experience with Snowflake\nStrong experience implementing dbt transformation frameworks\nAdvanced SQL modeling and performance optimization\nStrong experience with Apache Airflow orchestration\nStrong Python programming skills\nExperience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines\nExperience working in cloud environments (AWS preferred)\nNice to Have\nSnowflake certification\nExperience leading data platform migrations or modernization initiatives\nExperience implementing Medallion architecture patterns\nExperience defining data governance frameworks\nExperience working with distributed or global engineering teams\nOGCtLcWBRP","company":"Data Meaning","rawCompany":"data meaning","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T00:13:47.758Z","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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Architect","description":"Lead Data Architect\nLocation: Remote, US based\nPosition type: Full Time Employee\nCompensation: $190.000 (base + bonus)\n\nJob Summary\n\nData Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. As part of our growth and upcoming initiatives, we are proactively searching for Lead Data Architects to support future data platform modernization initiatives across our client portfolio.\n\nPosition Summary\nThe Lead Data Architect will lead the architecture assessment, transition planning, and modernization of the client’s data platform. This role will be responsible for designing the future-state architecture, defining best practices for ELT pipelines, and guiding the migration of existing SQL-based transformations into a scalable dbt framework within a Snowflake environment.\nThe position will work closely with the client’s engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition initiatives to ensure long-term scalability, reliability, and governance of the data platform.\n\nKey Responsibilities:\nLead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)\nDesign the future-state data platform architecture following modern ELT and dbt best practices\nDefine standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality\nLead the migration of transformation logic into dbt models\nDefine architectural patterns for: staging layers, intermediate layers, data marts\nImplement automated testing frameworks within dbt\nLead discovery sessions and technical workshops with the client’s data engineering teams\nDocument architecture, pipelines, and operational processes\nConduct architecture walkthrough sessions during knowledge transfer phases\nDefine standards for CI/CD, monitoring frameworks, and data quality validation\nEstablish schema management and governance best practices\nOptimize Snowflake compute usage and platform performance\nDesign scalable orchestration strategies for Airflow pipelines\nImprove platform reliability, monitoring, and operational observability\n\nRequired Skills & Qualifications:\nAdvanced / fluent English\n10+ years of experience in Data Engineering or Data Architecture\nStrong experience designing and implementing modern data platforms\nExpert-level experience with Snowflake\nStrong experience implementing dbt transformation frameworks\nAdvanced SQL modeling and performance optimization\nStrong experience with Apache Airflow orchestration\nStrong Python programming skills\nExperience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines\nExperience working in cloud environments (AWS preferred)\nNice to Have\nSnowflake certification\nExperience leading data platform migrations or modernization initiatives\nExperience implementing Medallion architecture patterns\nExperience defining data governance frameworks\nExperience working with distributed or global engineering teams\nOGCtLcWBRP","datePosted":"2026-08-05T00:13:47.758Z","dateModified":"2026-08-05T00:13:47.758Z","hiringOrganization":{"@type":"Organization","name":"Data Meaning","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fe7b392fd6fd6aef881ae266"},"url":"https://jobsearcher.com/jobs/fe7b392fd6fd6aef881ae266"}}