{"schemaVersion":"jobsearcher.job.v1","id":"85f54b8e917ce0ec3d5324ee","url":"https://jobsearcher.com/jobs/85f54b8e917ce0ec3d5324ee","canonicalUrl":"https://jobsearcher.com/jobs/85f54b8e917ce0ec3d5324ee","title":"Analytics Devops Engineer","description":"The Analytics DevOps Engineer builds and maintains CI/CD pipelines, deployment automation, and platform infrastructure for Power BI, Databricks, and data science models. The role bridges traditional DevOps practices with BI and ML environments, managing release processes and ensuring deployment reliability, environment consistency, and operational governance across the analytics platform.\r\nKey Responsibilities\r\nDesign, build, and maintain CI/CD pipelines for Power BI reports/datasets, Databricks notebooks/jobs, and ML model deployments across dev, test, and production environments.\r\nAutomate deployment of Power BI workspaces, datasets, and dataflows using Power BI REST APIs, deployment pipelines, and source-controlled artifacts.\r\nManage Databricks infrastructure-as-code (clusters, jobs, workflows, Unity Catalog objects) using tools such as Terraform, Databricks Asset Bundles, or equivalent.\r\nEstablish and enforce version control practices (Git-based workflows) for BI artifacts, notebooks, and ML code across teams.\r\nBuild monitoring, alerting, and logging for pipeline health, job failures, deployment errors, and platform performance across the BI/data science stack.\r\nStandardize environment promotion processes (dev - test - prod) with appropriate approval gates, testing, and rollback procedures.\r\nCollaborate with Data Science and BI teams to containerize and package models/reports for repeatable, automated deployment.\r\nAct as the liaison between Data Science, BI, Data Engineering, and Infrastructure/IT teams to align deployment practices with enterprise standards.\r\nManage access provisioning, secrets, and credentials across environments using secure vaults and role-based access controls.\r\nSupport cost governance and resource optimization by tracking compute usage, autoscaling policies, and cluster configurations.\r\nTroubleshoot deployment failures, environment drift, and integration issues across the analytics and data science toolchain.\r\nDocument deployment architecture, runbooks, and standard operating procedures for platform reliability and knowledge continuity.\r\nQualifications\r\nHighly proficient in CI/CD tooling such as Azure DevOps, GitHub Actions, or Jenkins.\r\nHighly proficient in scripting and automation (PowerShell, Python, Bash) for deployment workflows.\r\nStrong working knowledge of the Power BI platform, including deployment pipelines, REST APIs, and workspace/app management.\r\nStrong experience with Databricks, including Databricks Asset Bundles, workflows, cluster policies, and Unity Catalog administration.\r\nExperience with infrastructure-as-code tools such as Terraform or ARM/Bicep templates.\r\nProficient in Azure suite services relevant to data platforms - Azure Data Factory, Azure Data Lake, Azure Key Vault, Azure Synapse.\r\nSolid understanding of Git-based version control and branching strategies for analytics and ML artifacts.\r\nFamiliarity with containerization and orchestration concepts (Docker, Kubernetes) as applied to model/report deployment.\r\nUnderstanding of MLOps concepts - model versioning, monitoring, and automated retraining/deployment pipelines - is a strong plus.\r\nExcellent verbal, written, and presentation skills, able to translate technical deployment concepts to non-technical stakeholders.\r\nAttentive to detail, with strong troubleshooting and root-cause analysis skills.\r\nAbility to manage highly confidential material and enforce security/compliance standards.\r\nYou master CI/CD pipelines with Azure DevOps and Terraform. Experienced in Power BI REST APIs and Databricks automation. Skilled in scripting, Git workflows, and secure cloud deployments\r\nJ-18808-Ljbffr","company":"Recru","rawCompany":"recru","city":"Spring","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:53:12.328Z","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":"Analytics Devops Engineer","description":"The Analytics DevOps Engineer builds and maintains CI/CD pipelines, deployment automation, and platform infrastructure for Power BI, Databricks, and data science models. The role bridges traditional DevOps practices with BI and ML environments, managing release processes and ensuring deployment reliability, environment consistency, and operational governance across the analytics platform.\r\nKey Responsibilities\r\nDesign, build, and maintain CI/CD pipelines for Power BI reports/datasets, Databricks notebooks/jobs, and ML model deployments across dev, test, and production environments.\r\nAutomate deployment of Power BI workspaces, datasets, and dataflows using Power BI REST APIs, deployment pipelines, and source-controlled artifacts.\r\nManage Databricks infrastructure-as-code (clusters, jobs, workflows, Unity Catalog objects) using tools such as Terraform, Databricks Asset Bundles, or equivalent.\r\nEstablish and enforce version control practices (Git-based workflows) for BI artifacts, notebooks, and ML code across teams.\r\nBuild monitoring, alerting, and logging for pipeline health, job failures, deployment errors, and platform performance across the BI/data science stack.\r\nStandardize environment promotion processes (dev - test - prod) with appropriate approval gates, testing, and rollback procedures.\r\nCollaborate with Data Science and BI teams to containerize and package models/reports for repeatable, automated deployment.\r\nAct as the liaison between Data Science, BI, Data Engineering, and Infrastructure/IT teams to align deployment practices with enterprise standards.\r\nManage access provisioning, secrets, and credentials across environments using secure vaults and role-based access controls.\r\nSupport cost governance and resource optimization by tracking compute usage, autoscaling policies, and cluster configurations.\r\nTroubleshoot deployment failures, environment drift, and integration issues across the analytics and data science toolchain.\r\nDocument deployment architecture, runbooks, and standard operating procedures for platform reliability and knowledge continuity.\r\nQualifications\r\nHighly proficient in CI/CD tooling such as Azure DevOps, GitHub Actions, or Jenkins.\r\nHighly proficient in scripting and automation (PowerShell, Python, Bash) for deployment workflows.\r\nStrong working knowledge of the Power BI platform, including deployment pipelines, REST APIs, and workspace/app management.\r\nStrong experience with Databricks, including Databricks Asset Bundles, workflows, cluster policies, and Unity Catalog administration.\r\nExperience with infrastructure-as-code tools such as Terraform or ARM/Bicep templates.\r\nProficient in Azure suite services relevant to data platforms - Azure Data Factory, Azure Data Lake, Azure Key Vault, Azure Synapse.\r\nSolid understanding of Git-based version control and branching strategies for analytics and ML artifacts.\r\nFamiliarity with containerization and orchestration concepts (Docker, Kubernetes) as applied to model/report deployment.\r\nUnderstanding of MLOps concepts - model versioning, monitoring, and automated retraining/deployment pipelines - is a strong plus.\r\nExcellent verbal, written, and presentation skills, able to translate technical deployment concepts to non-technical stakeholders.\r\nAttentive to detail, with strong troubleshooting and root-cause analysis skills.\r\nAbility to manage highly confidential material and enforce security/compliance standards.\r\nYou master CI/CD pipelines with Azure DevOps and Terraform. Experienced in Power BI REST APIs and Databricks automation. Skilled in scripting, Git workflows, and secure cloud deployments\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:53:12.328Z","dateModified":"2026-08-08T01:53:12.328Z","hiringOrganization":{"@type":"Organization","name":"Recru","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spring","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"85f54b8e917ce0ec3d5324ee"},"url":"https://jobsearcher.com/jobs/85f54b8e917ce0ec3d5324ee"}}