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Job Description Senior Cloud Data Engineer Job Title: Senior Cloud Data Engineer Experience: 5+ Years Employment Type: Full-Time Role Summary We are seeking a highly skilled Senior Cloud Data Engineer to support a large-scale Cloud Data Modernization initiative. The ideal candidate will have strong experience in migrating enterprise data platforms from on-premises environments to Azure Cloud and Snowflake, along with hands-on expertise in designing, developing, and optimizing modern cloud-based data solutions. The role requires deep technical expertise in Azure Data Services, Databricks, Snowflake, ETL/ELT development, DevOps practices, and data engineering best practices. The successful candidate will collaborate with architects, developers, business teams, and engineering teams to deliver secure, scalable, and high-performing data platforms. Key Responsibilities Lead and execute migration of enterprise ETL workloads from on-premises SQL Server-based data warehouses to Azure Cloud and Snowflake platforms.Analyze, redesign, and modernize existing ETL processes developed using:SSIST-SQLSQL Server-based data workflowsDesign, develop, and implement scalable cloud data engineering solutions using:Azure Data Factory (ADF)Self-hosted Integration Runtime (SHIR)Azure Data Lake Storage Gen2 (ADLS Gen2)Azure Blob StorageAzure Logic AppsAzure DatabricksSnowflakeDevelop and optimize ETL/ELT pipelines for large-scale data processing and analytics workloads.Build data transformation workflows using Databricks and Python-based processing frameworks.Implement data ingestion, integration, transformation, and orchestration solutions across enterprise data platforms.Configure and manage CI/CD pipelines and DevOps practices using GitHub Actions.Collaborate with cross-functional teams including data architects, analysts, application teams, and business stakeholders.Troubleshoot data pipeline failures, performance issues, and integration challenges.Optimize data workflows for scalability, reliability, and performance.Implement security controls, governance practices, and compliance requirements across cloud data platforms.Support Agile delivery practices, including sprint planning, technical discussions, code reviews, and release activities.Participate in architecture discussions and provide recommendations for cloud data modernization strategies.Apply AI/ML capabilities and tools to enhance data processing workflows and ETL automation where applicable.Required QualificationsEducation Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.Experience Minimum 5+ years of experience as a Cloud Data Engineer.Strong experience delivering enterprise-scale data engineering solutions.Hands-on experience migrating data workloads from on-premises platforms to cloud environments.Experience working with modern cloud data architectures and analytics platforms.Required Technical SkillsCloud Data Engineering Strong hands-on experience with: Microsoft Azure CloudAzure Data Factory (ADF)Self-hosted Integration Runtime (SHIR)Azure Data Lake Storage Gen2 (ADLS Gen2)Azure Blob StorageAzure Logic AppsAzure DatabricksData Platforms SnowflakeDatabricksSQL ServerCloud data warehouse conceptsData lake and lakehouse architecturesETL/ELT Development Strong experience with: ETL pipeline design and developmentSSIS migration and modernizationT-SQL developmentData transformation frameworksData ingestion processesData integration patternsProgramming & Scripting Experience with: PythonSQLScripting for data processing and automationDevOps & CI/CD Experience with: GitHub ActionsCI/CD pipeline implementationSource control practicesAutomated deployment processesData Engineering Practices Strong understanding of: Data modelingDatabase design principlesData quality frameworksData validationPerformance optimizationPipeline monitoring and troubleshootingPreferred Qualifications Experience developing data engineering solutions using Databricks for analytics and large-scale processing workloads.Experience with data governance, metadata management, and data quality best practices.Knowledge of additional cloud platforms such as:AWSGoogle Cloud PlatformExperience applying AI/ML tools and models to:Data processing workflowsETL automationData analytics solutionsAzure or Snowflake certifications preferred.Experience working in Agile/Scrum environments.Key Competencies Cloud Data EngineeringAzure Data PlatformSnowflake DevelopmentDatabricks EngineeringETL/ELT ModernizationData MigrationPython & SQL DevelopmentData Pipeline OptimizationDevOps & CI/CD PracticesData GovernanceProblem SolvingAnalytical ThinkingTechnical LeadershipCollaboration & CommunicationRole Outcomes The successful candidate will: Modernize legacy data platforms through successful cloud migration.Build scalable and reliable Azure-based data solutions.Enable advanced analytics through Snowflake and Databricks platforms.Improve data .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.