{"schemaVersion":"jobsearcher.job.v1","id":"08c142f7704c49d292446dbe","url":"https://jobsearcher.com/jobs/08c142f7704c49d292446dbe","canonicalUrl":"https://jobsearcher.com/jobs/08c142f7704c49d292446dbe","title":"Databricks Architect","description":"Responsibilities Develop modern data solutions and architecture for cloud-native data platforms.\r\nBuild cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.\r\nLead data strategy sessions focused on scalability, performance, and flexibility.\r\nCollaborate with customers to implement solutions for data modernization.\r\nCreate training plans and learning materials to upskill VM associates.\r\nBuild a smart operations framework for DataOps and MLOps.\r\nRequirements Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics\r\nExperience in architecture and implementing End to End Modern Data Solutions using Azure and advanced data processing frameworks like Databricks\r\nExperience with Databricks, PySpark, and modern data platforms.\r\nProficiency in cloud-native architecture and data governance.\r\nStrong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks).\r\nUnderstanding of Agile/Scrum methodologies.\r\nDemonstrated knowledge of data warehouse concepts. Strong understanding of cloud-native databases, columnar database architectures.\r\nAbility to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.\r\nGood appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques\r\nData Mesh and Data Products designing, and implementation knowledge will be an added advantage.\r\nJ-18808-Ljbffr","company":"Techdoquest","rawCompany":"techdoquest","city":"Edison","state":"NJ","isRemote":false,"isActive":true,"createdAt":"2026-04-09T08:01:50.791Z","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":"Databricks Architect","description":"Responsibilities Develop modern data solutions and architecture for cloud-native data platforms.\r\nBuild cost-effective infrastructure in Databricks and orchestrate workflows using Databricks/ADF.\r\nLead data strategy sessions focused on scalability, performance, and flexibility.\r\nCollaborate with customers to implement solutions for data modernization.\r\nCreate training plans and learning materials to upskill VM associates.\r\nBuild a smart operations framework for DataOps and MLOps.\r\nRequirements Should have 14+ years of experience with last 4 years in implementing Cloud native end-to-end Data Solutions in Databricks from ingestion to consumption to support variety of needs such as Modern Data warehouse, BI, Insights and Analytics\r\nExperience in architecture and implementing End to End Modern Data Solutions using Azure and advanced data processing frameworks like Databricks\r\nExperience with Databricks, PySpark, and modern data platforms.\r\nProficiency in cloud-native architecture and data governance.\r\nStrong experience in migrating from on-premises to cloud solutions (Spark, Hadoop to Databricks).\r\nUnderstanding of Agile/Scrum methodologies.\r\nDemonstrated knowledge of data warehouse concepts. Strong understanding of cloud-native databases, columnar database architectures.\r\nAbility to work with Data Engineering teams, Data Management Team, BI and Analytics in a complex development IT environment.\r\nGood appreciation and at least one implementation experience on processing substrates in Data Engineering - such as ETL Tools, Kafka, ELT techniques\r\nData Mesh and Data Products designing, and implementation knowledge will be an added advantage.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:01:50.791Z","dateModified":"2026-04-09T08:01:50.791Z","hiringOrganization":{"@type":"Organization","name":"Techdoquest","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edison","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"08c142f7704c49d292446dbe"},"url":"https://jobsearcher.com/jobs/08c142f7704c49d292446dbe"}}