About the Role We are looking for a Lead Data Engineer to architect and guide the design and implementation of a global data handling and synchronization platform In addition to being hands-on you will provide technical leadership to a small team of data engineers and advise on master data management MDM best practices ensuring compliance with global data residency and privacy requirements e g GDPR Requirements 8 years of experience as a Data Engineer including at least 2 years in a technical leadership or lead role Pyspark optimization experience Robust expertise in Microsoft Azure data stack Azure SQL Data Lake Data Factory PySpark and distributed data architectures Proven experience with Master Data Management MDM and cross-region data synchronization Familiarity with data privacy security and compliance GDPR etc Proficiency in Python SQL and ETL tools Strong leadership problem-solving and communication skills Preferred Experience with MS-SQL Cosmos DB Databricks and event-driven architectures Knowledge of CI CD and infrastructure-as-code Azure DevOps ARM Bicep Terraform Key Responsibilities Lead the design and implementation of data pipelines for global and regional data synchronization Azure SQL Data Lake Data Factory PySpark etc Define the data architecture and drive MDM strategies for consistent high-quality data across regions Develop and enforce standards for secure handling of PII and non-PII data ensuring GDPR and other compliance Guide and mentor data engineers reviewing code and solutions to ensure best practices Partner with software architects DevOps and business stakeholders to integrate data flows with application logic and deployment pipelines Oversee monitoring alerting and documentation for data processes within the existing frameworks Provide technical guidance on data partitioning replication schema evolution and data governance

📌 Lead Data Engineer(mdm) (Gurugram)
🏢 Bounteous x Accolite
📍 Gurugram