{"schemaVersion":"jobsearcher.job.v1","id":"d070ed01a18b0ab86de496bc","url":"https://jobsearcher.com/jobs/d070ed01a18b0ab86de496bc","canonicalUrl":"https://jobsearcher.com/jobs/d070ed01a18b0ab86de496bc","title":"Databricks developer","description":"Architect and implement enterprise-grade Lakehouse solutions using Databricks.Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.Lead implementation of:Cloud-based data lakehouse platforms integrating diverse data sources.Real-time data processing pipelines for operational and analytical use cases.Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.Establish data quality frameworks and governance standards.Implement and manage Unity Catalog, including fine-grained security and access controls.Leverage Databricks components such as:Delta Live TablesAutoloaderStructured StreamingDatabricks WorkflowsIntegration with orchestration tools (e.g., Apache Airflow)Drive CI/CD automation, deployment strategies, and DevOps best practices.Optimize performance of pipelines, Spark jobs, and compute resources.Provide architectural guidance and technical leadership across cross-functional teams.Engage with stakeholders and clients to translate business requirements into scalable technical solutions.Deep expertise in:Databricks and cloud-native storage/compute platformsApache Spark (batch & streaming)Delta Lake & Lakehouse architectureDistributed data processing systemsStrong hands-on programming skills in Python, PySpark, Scala, and SQL.","company":"Atos","rawCompany":"atos","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-07-01T10:37:46.891Z","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":"Databricks developer","description":"Architect and implement enterprise-grade Lakehouse solutions using Databricks.Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.Lead implementation of:Cloud-based data lakehouse platforms integrating diverse data sources.Real-time data processing pipelines for operational and analytical use cases.Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.Establish data quality frameworks and governance standards.Implement and manage Unity Catalog, including fine-grained security and access controls.Leverage Databricks components such as:Delta Live TablesAutoloaderStructured StreamingDatabricks WorkflowsIntegration with orchestration tools (e.g., Apache Airflow)Drive CI/CD automation, deployment strategies, and DevOps best practices.Optimize performance of pipelines, Spark jobs, and compute resources.Provide architectural guidance and technical leadership across cross-functional teams.Engage with stakeholders and clients to translate business requirements into scalable technical solutions.Deep expertise in:Databricks and cloud-native storage/compute platformsApache Spark (batch & streaming)Delta Lake & Lakehouse architectureDistributed data processing systemsStrong hands-on programming skills in Python, PySpark, Scala, and SQL.","datePosted":"2026-07-01T10:37:46.891Z","dateModified":"2026-07-01T10:37:46.891Z","hiringOrganization":{"@type":"Organization","name":"Atos","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d070ed01a18b0ab86de496bc"},"url":"https://jobsearcher.com/jobs/d070ed01a18b0ab86de496bc"}}