{"schemaVersion":"jobsearcher.job.v1","id":"7b2b8a7d4a4e665797a0e18e","url":"https://jobsearcher.com/jobs/7b2b8a7d4a4e665797a0e18e","canonicalUrl":"https://jobsearcher.com/jobs/7b2b8a7d4a4e665797a0e18e","title":"Senior Azure Databricks Data Engineer / Architect","description":"Job Category: Data | Job Type: Hybrid | Job Location: New Jersey | Compensation: Depends on Experience | Employment: W2-Contract Only; C2C not considered.\r\nJob Description Candidates must be legally authorized to work in the United States without employer sponsorship. This includes U.S. Citizens, Permanent Residents, and other individuals with valid U.S. work authorization.\r\nCore Responsibilities Design and implement scalable data pipelines using Azure Databricks and Azure Data Factory.\r\nDevelop and maintain robust ETL/ELT workflows using Apache Spark and PySpark DataFrames.\r\nBuild and optimize data pipelines for efficient data ingestion, transformation, and processing of large datasets.\r\nUtilize data governance tools to manage data access, security, compliance, and data lifecycle.\r\nImplement data quality frameworks and maintain data lineage across enterprise data platforms.\r\nDesign and support modern data architecture using Lakehouse and distributed data processing principles.\r\nDevelop high-performance Spark and SQL-based data transformations.\r\nApply Master Data Management (MDM) concepts to ensure data consistency, integrity, and standardization.\r\nWork within the Azure Databricks ecosystem to deliver scalable, reliable, and enterprise-grade data engineering solutions.\r\nRequired Skills Azure Databricks\r\nApache Spark / PySpark\r\nAzure Data Factory\r\nSQL\r\nData Pipelines and ETL/ELT\r\nData Governance and Data Lineage\r\nLakehouse Architecture\r\nJ-18808-Ljbffr","company":"Jps Tech Solutions","rawCompany":"jps tech solutions","city":"Trenton","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:04:12.626Z","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":"Senior Azure Databricks Data Engineer / Architect","description":"Job Category: Data | Job Type: Hybrid | Job Location: New Jersey | Compensation: Depends on Experience | Employment: W2-Contract Only; C2C not considered.\r\nJob Description Candidates must be legally authorized to work in the United States without employer sponsorship. This includes U.S. Citizens, Permanent Residents, and other individuals with valid U.S. work authorization.\r\nCore Responsibilities Design and implement scalable data pipelines using Azure Databricks and Azure Data Factory.\r\nDevelop and maintain robust ETL/ELT workflows using Apache Spark and PySpark DataFrames.\r\nBuild and optimize data pipelines for efficient data ingestion, transformation, and processing of large datasets.\r\nUtilize data governance tools to manage data access, security, compliance, and data lifecycle.\r\nImplement data quality frameworks and maintain data lineage across enterprise data platforms.\r\nDesign and support modern data architecture using Lakehouse and distributed data processing principles.\r\nDevelop high-performance Spark and SQL-based data transformations.\r\nApply Master Data Management (MDM) concepts to ensure data consistency, integrity, and standardization.\r\nWork within the Azure Databricks ecosystem to deliver scalable, reliable, and enterprise-grade data engineering solutions.\r\nRequired Skills Azure Databricks\r\nApache Spark / PySpark\r\nAzure Data Factory\r\nSQL\r\nData Pipelines and ETL/ELT\r\nData Governance and Data Lineage\r\nLakehouse Architecture\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:04:12.626Z","dateModified":"2026-04-09T09:04:12.626Z","hiringOrganization":{"@type":"Organization","name":"Jps Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Trenton","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7b2b8a7d4a4e665797a0e18e"},"url":"https://jobsearcher.com/jobs/7b2b8a7d4a4e665797a0e18e"}}