{"schemaVersion":"jobsearcher.job.v1","id":"2069dfa91cfe71bb2aaf7765","url":"https://jobsearcher.com/jobs/2069dfa91cfe71bb2aaf7765","canonicalUrl":"https://jobsearcher.com/jobs/2069dfa91cfe71bb2aaf7765","title":"Senior DataBricks","description":"Base Pay Range\r\n$60,000.00/yr - $125,000.00/yr\r\nResponsibilities\r\nWork closely with source data application teams and product owners to design, implement, and support analytics solutions\r\nBuild and support data migration and data engineering solutions using Azure services (ADLS, ADF, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools\r\nParticipate across the full development lifecycle: design, cloud engineering, data ingestion and modeling, testing, CI/CD, performance tuning, deployments, BI, alerting, and production support\r\nProvide technical leadership and work collaboratively within a team, as well as independently\r\nBe part of a DevOps team that fully owns and supports its product\r\nMandatory Skills & Qualifications\r\nSenior-level experience with Azure cloud services\r\nSenior-level experience with Databricks and analytics tools for data movement and transformation\r\n3+ years of software solution development in Agile / DevOps product-based environments\r\n3+ years of data analytics experience using SQL\r\n2+ years of cloud development and data lake experience (Microsoft Azure preferred)\r\nHands-on experience with:\r\nPython, PySpark, SQL, Unix\r\nBI tools (Power BI, Cognos)\r\nSenior-level experience in solution design, problem identification, and technical leadership\r\nStrong written and verbal communication skills\r\nAbility to work CST-aligned hours and with geographically distributed teams\r\nBachelor's degree in a technical field or equivalent experience\r\nPrimary Focus / Key Skills\r\nPython / PySpark\r\nData validation and data quality\r\nNice-to-Have\r\n5+ years of software or data engineering experience\r\nExtended Azure experience (Functions, ADX, ASA, Power Apps)\r\nAirline industry experience\r\nSeniority Level\r\nMid-Senior level\r\nEmployment Type\r\nFull-time\r\nJob Function\r\nIT Services and IT Consulting\r\nBenefits\r\nMedical insurance\r\nVision insurance\r\n401(k)\r\nDisability insurance\r\nJ-18808-Ljbffr","company":"Luxoft","rawCompany":"luxoft","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-07T00:51:21.189Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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 DataBricks","description":"Base Pay Range\r\n$60,000.00/yr - $125,000.00/yr\r\nResponsibilities\r\nWork closely with source data application teams and product owners to design, implement, and support analytics solutions\r\nBuild and support data migration and data engineering solutions using Azure services (ADLS, ADF, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools\r\nParticipate across the full development lifecycle: design, cloud engineering, data ingestion and modeling, testing, CI/CD, performance tuning, deployments, BI, alerting, and production support\r\nProvide technical leadership and work collaboratively within a team, as well as independently\r\nBe part of a DevOps team that fully owns and supports its product\r\nMandatory Skills & Qualifications\r\nSenior-level experience with Azure cloud services\r\nSenior-level experience with Databricks and analytics tools for data movement and transformation\r\n3+ years of software solution development in Agile / DevOps product-based environments\r\n3+ years of data analytics experience using SQL\r\n2+ years of cloud development and data lake experience (Microsoft Azure preferred)\r\nHands-on experience with:\r\nPython, PySpark, SQL, Unix\r\nBI tools (Power BI, Cognos)\r\nSenior-level experience in solution design, problem identification, and technical leadership\r\nStrong written and verbal communication skills\r\nAbility to work CST-aligned hours and with geographically distributed teams\r\nBachelor's degree in a technical field or equivalent experience\r\nPrimary Focus / Key Skills\r\nPython / PySpark\r\nData validation and data quality\r\nNice-to-Have\r\n5+ years of software or data engineering experience\r\nExtended Azure experience (Functions, ADX, ASA, Power Apps)\r\nAirline industry experience\r\nSeniority Level\r\nMid-Senior level\r\nEmployment Type\r\nFull-time\r\nJob Function\r\nIT Services and IT Consulting\r\nBenefits\r\nMedical insurance\r\nVision insurance\r\n401(k)\r\nDisability insurance\r\nJ-18808-Ljbffr","datePosted":"2026-08-07T00:51:21.189Z","dateModified":"2026-08-07T00:51:21.189Z","hiringOrganization":{"@type":"Organization","name":"Luxoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2069dfa91cfe71bb2aaf7765"},"url":"https://jobsearcher.com/jobs/2069dfa91cfe71bb2aaf7765"}}