{"schemaVersion":"jobsearcher.job.v1","id":"2c7c2da3b72fe2df58289720","url":"https://jobsearcher.com/jobs/2c7c2da3b72fe2df58289720","canonicalUrl":"https://jobsearcher.com/jobs/2c7c2da3b72fe2df58289720","title":"Data Architect","description":"Responsibilities Develop and enhance canonical data models, semantic models, and domain‐driven data contracts to enable cross‐enterprise data interoperability. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles. Design and implement data architecture patterns to support real‐time streaming solutions using Kafka. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‐governed data models. Ensure consistent application of data governance, metadata management, and lineage standards across data domains. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda), and Snowflake. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling. Support enterprise initiatives around real‐time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations. Requirements Significant experience with canonical data modeling and enterprise‐wide conceptual/logical/physical modeling. Strong background in semantic modeling and data mesh design principles. Hands‐on experience with Kafka, including event modeling, schema strategy, and real‐time pipeline architecture. Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake. Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems. Familiarity with data governance, data quality, metadata, and lineage frameworks. Strong SQL skills and proficiency in at least one programming language (Python preferred). Excellent communication skills with the ability to work across technical and business teams. Hands‐on experience with enterprise data catalog and metadata systems. AWS certification (Solutions Architect, Data Analytics Specialty, etc.). Hard Skills canonical data modeling conceptual modeling logical modeling physical modeling semantic modeling data mesh design real‐time pipeline architecture ETL ELT SQL Soft Skills communication collaboration Certifications & Qualifications AWS Solutions Architect AWS Data Analytics Specialty #J-18808-Ljbffr","company":"Jobtailor","rawCompany":"jobtailor","city":"Oklahoma City","state":"OK","isRemote":false,"isActive":false,"createdAt":"2026-08-08T04:00:02.658Z","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":"Data Architect","description":"Responsibilities Develop and enhance canonical data models, semantic models, and domain‐driven data contracts to enable cross‐enterprise data interoperability. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles. Design and implement data architecture patterns to support real‐time streaming solutions using Kafka. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‐governed data models. Ensure consistent application of data governance, metadata management, and lineage standards across data domains. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda), and Snowflake. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling. Support enterprise initiatives around real‐time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations. Requirements Significant experience with canonical data modeling and enterprise‐wide conceptual/logical/physical modeling. Strong background in semantic modeling and data mesh design principles. Hands‐on experience with Kafka, including event modeling, schema strategy, and real‐time pipeline architecture. Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake. Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems. Familiarity with data governance, data quality, metadata, and lineage frameworks. Strong SQL skills and proficiency in at least one programming language (Python preferred). Excellent communication skills with the ability to work across technical and business teams. Hands‐on experience with enterprise data catalog and metadata systems. AWS certification (Solutions Architect, Data Analytics Specialty, etc.). Hard Skills canonical data modeling conceptual modeling logical modeling physical modeling semantic modeling data mesh design real‐time pipeline architecture ETL ELT SQL Soft Skills communication collaboration Certifications & Qualifications AWS Solutions Architect AWS Data Analytics Specialty #J-18808-Ljbffr","datePosted":"2026-08-08T04:00:02.658Z","dateModified":"2026-08-08T04:00:02.658Z","hiringOrganization":{"@type":"Organization","name":"Jobtailor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oklahoma City","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c7c2da3b72fe2df58289720"},"url":"https://jobsearcher.com/jobs/2c7c2da3b72fe2df58289720"}}