{"schemaVersion":"jobsearcher.job.v1","id":"2ebd4686da21a1e2a6804d21","url":"https://jobsearcher.com/jobs/2ebd4686da21a1e2a6804d21","canonicalUrl":"https://jobsearcher.com/jobs/2ebd4686da21a1e2a6804d21","title":"Sr. Databricks Developer","description":"We are seeking an experienced Senior Databricks Developer with strong expertise in Databricks and AWS ecosystems, large-scale data engineering, and modern Lakehouse architecture. The ideal candidate should have hands-on experience building high-volume, production-grade ETL/ELT pipelines, streaming solutions, and scalable data platforms.\r\nKey ResponsibilitiesDesign, develop, and maintain scalable data engineering solutions using Databricks and AWS.\r\nImplement and optimize Delta Lake and Lakehouse architecture.\r\nDevelop high-performance ETL/ELT pipelines using PySpark and Scala Spark.\r\nBuild and manage high-volume, production-grade data processing workflows.\r\nImplement real-time and streaming data pipelines using Databricks and Delta Live Tables (DLT).\r\nImplement and support MLOps solutions within the Databricks ecosystem.\r\nApply Data Mesh architecture principles to enterprise data platforms.\r\nOptimize data processing workloads for performance, scalability, and cost efficiency.\r\nMonitor and troubleshoot production data pipelines to ensure reliability and data quality.\r\nCollaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.\r\nMandatory SkillsDeep knowledge of Databricks and AWS ecosystems.\r\nStrong experience with Delta Lake and Lakehouse Architecture.\r\nKnowledge of Lakeflow and Lakebase.\r\nHands-on expertise in PySpark and Scala Spark.\r\nExperience with Streaming and Delta Live Tables (DLT).\r\nMLOps implementation and experience within Databricks.\r\nKnowledge of Data Mesh architecture.\r\nAdvanced cost optimization and performance engineering.\r\nStrong experience as a Databricks and AWS Data Engineer\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Quantum Technologies","rawCompany":"quantum technologies","city":"Columbus","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-11-05T01:36:58.187Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Databricks Developer","description":"We are seeking an experienced Senior Databricks Developer with strong expertise in Databricks and AWS ecosystems, large-scale data engineering, and modern Lakehouse architecture. The ideal candidate should have hands-on experience building high-volume, production-grade ETL/ELT pipelines, streaming solutions, and scalable data platforms.\r\nKey ResponsibilitiesDesign, develop, and maintain scalable data engineering solutions using Databricks and AWS.\r\nImplement and optimize Delta Lake and Lakehouse architecture.\r\nDevelop high-performance ETL/ELT pipelines using PySpark and Scala Spark.\r\nBuild and manage high-volume, production-grade data processing workflows.\r\nImplement real-time and streaming data pipelines using Databricks and Delta Live Tables (DLT).\r\nImplement and support MLOps solutions within the Databricks ecosystem.\r\nApply Data Mesh architecture principles to enterprise data platforms.\r\nOptimize data processing workloads for performance, scalability, and cost efficiency.\r\nMonitor and troubleshoot production data pipelines to ensure reliability and data quality.\r\nCollaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.\r\nMandatory SkillsDeep knowledge of Databricks and AWS ecosystems.\r\nStrong experience with Delta Lake and Lakehouse Architecture.\r\nKnowledge of Lakeflow and Lakebase.\r\nHands-on expertise in PySpark and Scala Spark.\r\nExperience with Streaming and Delta Live Tables (DLT).\r\nMLOps implementation and experience within Databricks.\r\nKnowledge of Data Mesh architecture.\r\nAdvanced cost optimization and performance engineering.\r\nStrong experience as a Databricks and AWS Data Engineer\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-05T01:36:58.187Z","dateModified":"2026-11-05T01:36:58.187Z","hiringOrganization":{"@type":"Organization","name":"Quantum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2ebd4686da21a1e2a6804d21"},"url":"https://jobsearcher.com/jobs/2ebd4686da21a1e2a6804d21"}}