About the Position

We are seeking an experienced Azure Data Engineer to support a large-scale Mainframe to Azure Cloud PaaS migration program. The ideal candidate will have strong expertise in Azure data services, cloud-native architectures, data integration, and modernization initiatives. 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.

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.

Requirements

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.
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.

Nice to Have

Experience in Mainframe modernization programs.
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.
Azure certifications are highly desirable:
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Administrator Associate

We Offer

Competitive salary
Opportunity to work in a dynamic and innovative environment
Professional growth and development opportunities

About the Company

DXC Luxoft is a global technology services company that specializes in delivering innovative solutions and services to clients across various industries. We are committed to driving digital transformation and helping our clients succeed in the digital age.

Location: Deerfield Beach, US

Employment Type: FULL_TIME

Language: English (C1 Advanced)

Seniority Level: Senior

Azure Data Engineer

Job description