{"schemaVersion":"jobsearcher.job.v1","id":"13f395c3403fe7cbca628396","url":"https://jobsearcher.com/jobs/13f395c3403fe7cbca628396","canonicalUrl":"https://jobsearcher.com/jobs/13f395c3403fe7cbca628396","title":"Data Cloud Engineering Architect","description":"Role Overview: We are seeking a seasoned AWS Data Architect to design, implement, and optimize enterprise scale data solutions on AWS. The ideal candidate will have extensive experience in data engineering, governance, and cloud-native architectures, with hands-on expertise in AWS services supporting modern LakeHouse Architecture and advanced analyticsKey Responsibilities Architect and implement AWS Glue Jobs for scalable ETL/ELT pipelines. Design and manage LakeHouse Architecture using AWS Lake Formation. Establish robust Data Governance frameworks ensuring compliance, lineage, and metadata management. Developement-driven solutions leveraging AWS EventBridge and AWS Lambdas with Python. Build and optimize Data Streams (Kinesis, Firehose) for real-time ingestion. Model TimeSeries and Event-based data for analytics and reporting. Integrate with third-party systems to unify enterprise data ecosystems. Design and orchestrate Airflow DAGs for workflow automation. Enable advanced analytics using Athena, Redshift, and other engines. Implement AI-ready solutions leveraging AWS Bedrock. Required Skills 10+ years of experience in data architecture and engineering. Strong expertise in AWS Glue, Lake Formation, EventBridge, Kinesis/Firehose, Lambda (Python). Proven experience in LakeHouse design, data modelling, and governance. Hands-onwith Airflow DAGs, Athena, Redshift, and AWS Bedrock is preferred. Excellent communication and stakeholder management skills","company":"Datadot Software Solution","rawCompany":"datadot software solution","city":"Garden City","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-15T10:26:14.622Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Cloud Engineering Architect","description":"Role Overview: We are seeking a seasoned AWS Data Architect to design, implement, and optimize enterprise scale data solutions on AWS. The ideal candidate will have extensive experience in data engineering, governance, and cloud-native architectures, with hands-on expertise in AWS services supporting modern LakeHouse Architecture and advanced analyticsKey Responsibilities Architect and implement AWS Glue Jobs for scalable ETL/ELT pipelines. Design and manage LakeHouse Architecture using AWS Lake Formation. Establish robust Data Governance frameworks ensuring compliance, lineage, and metadata management. Developement-driven solutions leveraging AWS EventBridge and AWS Lambdas with Python. Build and optimize Data Streams (Kinesis, Firehose) for real-time ingestion. Model TimeSeries and Event-based data for analytics and reporting. Integrate with third-party systems to unify enterprise data ecosystems. Design and orchestrate Airflow DAGs for workflow automation. Enable advanced analytics using Athena, Redshift, and other engines. Implement AI-ready solutions leveraging AWS Bedrock. Required Skills 10+ years of experience in data architecture and engineering. Strong expertise in AWS Glue, Lake Formation, EventBridge, Kinesis/Firehose, Lambda (Python). Proven experience in LakeHouse design, data modelling, and governance. Hands-onwith Airflow DAGs, Athena, Redshift, and AWS Bedrock is preferred. Excellent communication and stakeholder management skills","datePosted":"2026-08-15T10:26:14.622Z","dateModified":"2026-08-15T10:26:14.622Z","hiringOrganization":{"@type":"Organization","name":"Datadot Software Solution","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Garden City","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"13f395c3403fe7cbca628396"},"url":"https://jobsearcher.com/jobs/13f395c3403fe7cbca628396"}}