{"schemaVersion":"jobsearcher.job.v1","id":"931fd5e272eb58bfb8ca53cd","url":"https://jobsearcher.com/jobs/931fd5e272eb58bfb8ca53cd","canonicalUrl":"https://jobsearcher.com/jobs/931fd5e272eb58bfb8ca53cd","title":"Cloud Engineer","description":"Position Overview:We are seeking a Senior Cloud Data Engineer to join our data platform team and play a key role in designing, building, and maintaining scalable data infrastructure across our enterprise. This is a hands-on engineering role for someone who thrives at the intersection of cloud architecture, data pipeline development, AI Integration, and DevOps automation.You will lead the full Microsoft data ecosystem — spanning Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps — and will bring a strong working knowledge of AI and machine learning platforms, including Azure AI Services and Azure OpenAI, to help the organization move from data delivery toward intelligent, insight-driven automation.You will also contribute to our multi-cloud resilience strategy, bringing working knowledge of AWS to support contingency and hybrid workloads as needed.Key Responsibilities:Design and build end-to-end data pipelines and ingestion workflows using Azure Data Factory and Microsoft Fabric, ensuring scalability, observability, and data quality at every stage.Develop and maintain serverless automation and event-driven integrations using Azure Function Apps and Logic Apps, including orchestration flows that connect AI services to data pipelines.Own infrastructure-as-code practices using Terraform to provision and manage cloud resources consistently across environments.Drive CI/CD pipeline development and deployment automation through GitHub Actions and Harness, ensuring fast, safe, and repeatable deployments across both data and AI workloads.Integrate Azure AI Services and Azure OpenAI into data workflows — including document intelligence, embeddings, semantic search, and AI-assisted data enrichment — enabling the platform to support intelligent applications and copilot-style experiences.Architect/Manage analytical workloads within Azure Synapse Analytics, including Lakehouse patterns, dedicated SQL pools, and Spark-based transformations.Support cross-cloud strategies by applying AWS knowledge to maintain contingency pipelines and hybrid architecture patterns.Maintain continuity of existing pipelines and maintenance work.Qualifications & Requirements:Around 10 years of experience in data engineering with a strong focus on cloud-native solutions.Deep hands-on expertise with the Microsoft Azure data stack, including Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps.Proven experience with infrastructure-as-code using Terraform, and CI/CD platforms such as GitHub Actions and Harness.Strong proficiency in SQL and at least one data-oriented programming language, with Python preferred given its centrality to AI and ML integration work.Demonstrated experience integrating Azure AI Services or Azure OpenAI into data pipelines or platform workflows, including working with REST-based AI APIs, prompt engineering, embeddings, or AI-assisted data processing.Practical experience publishing data to SharePoint Lists from ADF pipelines, including familiarity with SharePoint Online REST APIs and OAuth authentication flows.Working knowledge of AWS services — such as S3, Glue, or Lambda — sufficient to design and operate contingency or hybrid workflows.","company":"Robert Half","rawCompany":"robert half","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-17T19:55:01.810Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Engineer","description":"Position Overview:We are seeking a Senior Cloud Data Engineer to join our data platform team and play a key role in designing, building, and maintaining scalable data infrastructure across our enterprise. This is a hands-on engineering role for someone who thrives at the intersection of cloud architecture, data pipeline development, AI Integration, and DevOps automation.You will lead the full Microsoft data ecosystem — spanning Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps — and will bring a strong working knowledge of AI and machine learning platforms, including Azure AI Services and Azure OpenAI, to help the organization move from data delivery toward intelligent, insight-driven automation.You will also contribute to our multi-cloud resilience strategy, bringing working knowledge of AWS to support contingency and hybrid workloads as needed.Key Responsibilities:Design and build end-to-end data pipelines and ingestion workflows using Azure Data Factory and Microsoft Fabric, ensuring scalability, observability, and data quality at every stage.Develop and maintain serverless automation and event-driven integrations using Azure Function Apps and Logic Apps, including orchestration flows that connect AI services to data pipelines.Own infrastructure-as-code practices using Terraform to provision and manage cloud resources consistently across environments.Drive CI/CD pipeline development and deployment automation through GitHub Actions and Harness, ensuring fast, safe, and repeatable deployments across both data and AI workloads.Integrate Azure AI Services and Azure OpenAI into data workflows — including document intelligence, embeddings, semantic search, and AI-assisted data enrichment — enabling the platform to support intelligent applications and copilot-style experiences.Architect/Manage analytical workloads within Azure Synapse Analytics, including Lakehouse patterns, dedicated SQL pools, and Spark-based transformations.Support cross-cloud strategies by applying AWS knowledge to maintain contingency pipelines and hybrid architecture patterns.Maintain continuity of existing pipelines and maintenance work.Qualifications & Requirements:Around 10 years of experience in data engineering with a strong focus on cloud-native solutions.Deep hands-on expertise with the Microsoft Azure data stack, including Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps.Proven experience with infrastructure-as-code using Terraform, and CI/CD platforms such as GitHub Actions and Harness.Strong proficiency in SQL and at least one data-oriented programming language, with Python preferred given its centrality to AI and ML integration work.Demonstrated experience integrating Azure AI Services or Azure OpenAI into data pipelines or platform workflows, including working with REST-based AI APIs, prompt engineering, embeddings, or AI-assisted data processing.Practical experience publishing data to SharePoint Lists from ADF pipelines, including familiarity with SharePoint Online REST APIs and OAuth authentication flows.Working knowledge of AWS services — such as S3, Glue, or Lambda — sufficient to design and operate contingency or hybrid workflows.","datePosted":"2026-05-17T19:55:01.810Z","dateModified":"2026-05-17T19:55:01.810Z","hiringOrganization":{"@type":"Organization","name":"Robert Half","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"931fd5e272eb58bfb8ca53cd"},"url":"https://jobsearcher.com/jobs/931fd5e272eb58bfb8ca53cd"}}