Lead Data Enginee -Azure and SAP

We are seeking a seasoned Lead Data Engineer to architect and execute scalable data engineering and migration strategies. You will be responsible for the end-to-end migration of data from legacy systems to modern cloud platforms, ensuring data integrity, minimal downtime, and robust data governance. This role requires a technical leader who can drive excellence, mentor teams, and deliver optimized data pipelines that enable advanced analytics. Key Responsibilities • Architect, develop, and implement high-performance ETL solutions utilizing Azure Data Factory (ADF) and SAP Data Services. • Lead the migration of data logic, including the analysis and conversion of stored procedures from SAP HANA to Databricks using SQL/PL-SQL. • Utilize Fivetran to automate and manage data ingestion pipelines from source systems like SAP S4 into the data lakehouse. • Design, build, and maintain complex, scalable data pipelines using Python and Databricks. • Champion data governance, security, and compliance standards across all data engineering initiatives. • Provide technical leadership, mentorship, and guidance to data engineering teams on best practices and architecture. • Proactively identify, troubleshoot, and resolve performance bottlenecks and network/VPN-related data flow issues. • Collaborate with stakeholders to translate business requirements into technical solutions and provide regular project updates. • Document data flows, pipeline designs, and lineage to ensure clarity and maintainability. • Actively participate in Agile/Scrum ceremonies using tools like Jira or Azure DevOps. Required Experience & Skills • 5+ years of professional experience in data engineering, platform development, with proven leadership/architecture responsibilities. • Must have led a minimum of 3 end-to-end enterprise data projects utilizing the Microsoft Azure tech stack and Databricks. • 5+ years of hands-on experience building ETL/ELT pipelines with Azure Data Factory (ADF). • Demonstrable expertise in SQL and experience migrating logic from platforms like SAP HANA. • Practical experience with Fivetran for automated data ingestion. • Solid understanding of networking concepts and experience resolving VPN and data flow issues. • Familiarity with data governance, security protocols, and compliance frameworks. • Proficiency in Python for data pipeline development. • Strong interpersonal and communication skills, with the ability to collaborate effectively with both technical teams and business stakeholders. • Bachelor’s degree (BS/MS) in Computer Science, Information Systems, or a related field. • Prior experience working in an Agile/Scrum environment with tools like Jira or Azure DevOps. Skills: data engineering,sql,sap,10 years,azure,databricks,pipelines,architecture