{"schemaVersion":"jobsearcher.job.v1","id":"97caeba906b55e0091afd912","url":"https://jobsearcher.com/jobs/97caeba906b55e0091afd912","canonicalUrl":"https://jobsearcher.com/jobs/97caeba906b55e0091afd912","title":"Senior Data Engineer — AWS & Databricks","description":"Hiring Senior Data Engineer — AWS & DatabricksLocation: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SCWork Model: Hybrid — 1–2 days/weekEmployment Type: Full-Time / ContractJob OverviewWe are seeking a Senior Data Engineer to design and deliver modern data platforms using AWS and Databricks. The role focuses on hands-on data engineering across ingestion, transformation, and warehousing for structured and unstructured data.Key ResponsibilitiesDesign and deliver end-to-end data engineering solutions across AWS and Databricks.Build scalable data pipelines for structured and unstructured data.Partner with architects and business stakeholders to translate requirements into production-ready solutions.Establish standards for data quality, governance, reliability, and platform scalability.Required SkillsStrong hands-on experience with AWS services across compute, storage, orchestration, and security.Deep experience with Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration.Strong experience across the data engineering lifecycle, including ingestion, transformation, and warehousing.Experience working with both structured and unstructured data.Preferred SkillsExposure to Agentic AI concepts and frameworks.Manufacturing industry experience.Knowledge of data modeling, including dimensional and canonical modeling.How to Apply:Interested candidates can send their updated resume to ekta@arkhyatech.com.","company":"Arkhya Tech","rawCompany":"arkhya tech","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-27T09:02:06.212Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer — AWS & Databricks","description":"Hiring Senior Data Engineer — AWS & DatabricksLocation: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SCWork Model: Hybrid — 1–2 days/weekEmployment Type: Full-Time / ContractJob OverviewWe are seeking a Senior Data Engineer to design and deliver modern data platforms using AWS and Databricks. The role focuses on hands-on data engineering across ingestion, transformation, and warehousing for structured and unstructured data.Key ResponsibilitiesDesign and deliver end-to-end data engineering solutions across AWS and Databricks.Build scalable data pipelines for structured and unstructured data.Partner with architects and business stakeholders to translate requirements into production-ready solutions.Establish standards for data quality, governance, reliability, and platform scalability.Required SkillsStrong hands-on experience with AWS services across compute, storage, orchestration, and security.Deep experience with Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration.Strong experience across the data engineering lifecycle, including ingestion, transformation, and warehousing.Experience working with both structured and unstructured data.Preferred SkillsExposure to Agentic AI concepts and frameworks.Manufacturing industry experience.Knowledge of data modeling, including dimensional and canonical modeling.How to Apply:Interested candidates can send their updated resume to ekta@arkhyatech.com.","datePosted":"2026-08-27T09:02:06.212Z","dateModified":"2026-08-27T09:02:06.212Z","hiringOrganization":{"@type":"Organization","name":"Arkhya Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"97caeba906b55e0091afd912"},"url":"https://jobsearcher.com/jobs/97caeba906b55e0091afd912"}}