Technical Manager

Role overview

Technical Manager at Luxoft

Project description We are seeking an experienced Azure Data Engineer to support a large-scale Mainframe to Azure Cloud PaaS migration program.

Required qualifications

• Skills Must have Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience. 5+ years of experience in Data Engineering. 3+ years of hands-on Azure Cloud experience.

Preferred qualifications and skills

• Nice to have Experience in Mainframe modernization programs.
• Azure certifications are highly desirable: Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Administrator Associate Other Languages English: C1 Advanced Seniority Senior

Employment details

• Location: Remote India [India]

Application details

• This role will work closely with architects, business stakeholders, application teams, and data migration specialists to design, build, and optimize scalable data solutions on the Azure platform.

Additional role details

• The ideal candidate will have strong expertise in Azure data services, cloud-native architectures, data integration, and modernization initiatives.
• The engineer will be responsible for migrating legacy data assets from Mainframe environments to Azure-based PaaS services while ensuring data quality, performance, security, and operational excellence.
• Responsibilities Cloud Data Engineering & Migration -Design and implement scalable Azure-based data solutions supporting enterprise modernization initiatives. -Analyze legacy Mainframe data structures, files, and processing workflows. -Develop and execute data migration strategies from Mainframe platforms to Azure Cloud. -Build and optimize ETL/ELT pipelines for data ingestion, transformation, and loading. -Support batch modernization and data integration requirements. -Ensure successful migration of historical and operational data with minimal business disruption.
• Azure Platform Engineering -Develop solutions using Azure PaaS services, including: -Azure Data Factory (ADF) -Azure Databricks -Azure Synapse Analytics -Azure Data Lake Storage Gen2 -Azure SQL Database -Azure Functions -Azure Logic Apps -Implement cloud-native data architectures aligned with Azure best practices. -Optimize performance, scalability, and cost efficiency of Azure data -platforms.
• Data Management & Governance -Ensure data quality, integrity, lineage, and governance standards. -Implement security controls following enterprise and regulatory requirements. -Establish monitoring, logging, and operational support processes. -Support data validation, reconciliation, and testing activities during -migration phases.
• Collaboration & Delivery -Collaborate with enterprise architects, application teams, business analysts, and infrastructure teams. -Participate in solution design reviews and technical workshops. -Document technical designs, migration approaches, and deployment procedures. -Support Agile delivery methodologies and project milestones.
• Experience with large-scale data migration or modernization projects.
• Strong knowledge of Azure Data Factory, Databricks, Synapse Analytics, and Data Lake.
• Strong SQL development and performance tuning skills.
• Experience developing ETL/ELT data pipelines.
• Understanding of cloud security and governance principles.
• Experience with CI/CD and DevOps practices.
• Excellent problem-solving and communication skills.
• Knowledge of Mainframe technologies such as: COBOL JCL VSAM DB2 IMS CICS Experience with modernization tools and migration frameworks.
• Familiarity with event-driven and serverless architectures.
• Experience working in enterprise-scale Azure environments.