Lead Engineer

4 weeks ago

New Delhi, India People Prime Worldwide Full time

About the CompanyOur client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.Lead Data Engineer (L5) – Python & Azure Job Overview: We are seeking a highly skilled Lead Data Engineer with deep expertise in Microsoft Azure data ecosystem to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams — data scientists, analysts, and business stakeholders — to ensure high-quality, secure, and performant data delivery.Total experience : 10+ yearsKey Responsibilities: 1. Data Architecture & Solution Design ● Architect end-to-end data solutions on Azure, leveraging services like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and ADLS Gen2. ● Design and implement modern data architectures, including Data Lakehouse and Medallion (Bronze–Silver–Gold) architectures. ● Define standards for data ingestion, transformation, and storage across structured, semi-structured, and unstructured data. ● Ensure alignment of data solutions with enterprise data strategy, security, and compliance frameworks. ● Lead proof-of-concept (PoC) and architecture review sessions for new projects. 2. Data Pipeline Development & Optimization ● Build and maintain scalable, fault-tolerant ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (PySpark). ● Implement real-time and batch data ingestion using Azure Event Hubs, Kafka, or Stream Analytics. ● Manage data transformations and curation layers for consumption by BI, AI/ML, and analytics teams. ● Apply data partitioning, indexing, caching, and query tuning techniques to optimize performance.● Automate data workflows and orchestrations using CI/CD pipelines and infrastructure as code. 3. Data Governance & Quality Management ● Establish and enforce data governance standards, including data lineage, metadata, and stewardship. ● Implement data quality frameworks and validation checks at ingestion and transformation stages. ● Drive adoption of Azure Purview (or Microsoft Fabric governance) for cataloging and classification. ● Ensure security and compliance with policies (e.g., GDPR, HIPAA) using Azure RBAC, AAD, and Key Vault. ● Promote data observability and monitoring practices for proactive issue detection. 4. Technical Leadership & Team Management ● Lead a team of data engineers, providing technical guidance, mentorship, and career development. ● Review and approve solution designs, data models, and code to maintain quality and consistency. ● Collaborate with data architects, data scientists, and BI teams to align technical priorities. ● Define best practices, coding standards, and reusable frameworks for the data engineering team. ● Serve as the technical point of contact for all Azure-related data initiatives.

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