Lead Data Engineer/Architect

Role name :Lead Data Engineer/Architect Location: Remote Mode :Contract Mandatory Skills: Data Engineering, Data Integration, Snowflake Cortex, Azure Data Factory (ADF Role Overview: We are looking for a highly skilled Azure Data Engineering Leader to drive end-to-end data solutions ,from architecture to execution This role requires strong expertise in Azure data platforms, Snowflake, and BI ecosystems, along with the ability to manage global teams, engage with clients, and deliver scalable data solutions aligned with business needs. Key Responsibilities: Data Engineering & Architecture: Design and implement scalable data engineering solutions on Microsoft Azure Develop and manage data pipelines using Azure Data Factory (ADF) and integration servicesz Build and optimize data models (RDBMS, dimensional models) for analytics use cases Work with APIs, connectors, and integration frameworks to enable seamless data flow Architect and implement solutions using Snowflake (including Snowflake Cortex) Data Integration & Platforms: Integrate data across platforms including Salesforce and other enterprise systems Manage data ingestion, transformation, and storage strategies Ensure efficient use of tools like Tableau Bridge and Tableau Server for data accessibility Data Strategy & Governance: Act as a trusted advisor to clients on data analytics strategy and best practices Define frameworks for data storage, processing, and lifecycle management Implement and enforce data governance, data quality, and security standards Stakeholder & Client Management: Work closely with business and technical stakeholders to understand requirements and design solutions Translate business problems into scalable data solutions and actionable insights Drive client engagement, expectation management, and delivery excellence