Azure Data Engineer Lead — Mainframe Modernization

Luxoft; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Luxoft is seeking an experienced Azure Data Engineer to lead a large-scale Mainframe to Azure Cloud migration. You will design, build, and optimize scalable data solutions using ADF, Databricks, Synapse, and Data Lake Gen2, ensuring data quality, security, and cost efficiency.

You will work with architects, stakeholders, and data migration teams to develop ETL/ELT pipelines and migrate historical data with minimal business disruption. Strong SQL and DevOps practices are essential.

Qualifications

• Bachelor's degree in CS/IT/Engineering or equivalent.
• 5+ years in Data Engineering.
• 3+ years hands-on Azure Cloud experience.
• Experience with large-scale data migration or modernization.
• Strong knowledge of ADF, Databricks, Synapse, and Data Lake.
• Strong SQL development and performance tuning.

Responsibilities

• Design and implement scalable Azure-based data solutions for enterprise modernization.
• Analyze legacy Mainframe data structures and processing workflows.
• Migrate data from Mainframe platforms to Azure Cloud using ETL/ELT pipelines.
• Ensure data quality, security, and governance during migration.
• Collaborate with architects, stakeholders, and data migration teams.
• Document designs, migration approaches, and deployment procedures.
• Support Agile delivery and project milestones.

Skills

Data Engineering

Azure Cloud

ETL/ELT

ADF

Databricks

Synapse Analytics

Data Lake

SQL Development

CI/CD DevOps

Security & Governance

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Azure SQL Database

Azure Functions

Azure Logic Apps

Azure DevOps

Git

Job description

Luxoft is seeking an experienced Azure Data Engineer to lead a large-scale Mainframe to Azure Cloud migration. You will design, build, and optimize scalable data solutions using ADF, Databricks, Synapse, and Data Lake Gen2, ensuring data quality, security, and cost efficiency.

You will work with architects, stakeholders, and data migration teams to develop ETL/ELT pipelines and migrate historical data with minimal business disruption. Strong SQL and DevOps practices are essential.