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Sharing the JD below for your reference.: Position :Data Engineering Architect/Technical Architect Job Summary We are seeking an experienced and strategic Data Engineering Architect with over 15+ years of experience in designing, implementing, and managing enterprise-scale data platforms. The ideal candidate should possess deep expertise in Azure Databricks, Microsoft Fabric, Power BI, SQL, and modern cloud-based data architectures. In addition to technical leadership, the candidate should have strong client-facing experience, including account management, stakeholder engagement, solution consulting, and delivery governance. Key Responsibilities Solution Architecture & Technical Leadership - Define and implement enterprise data architecture strategies aligned with business objectives. - Design scalable, secure, and high-performance data platforms using Microsoft Azure technologies. - Architect modern data lakehouse solutions leveraging Azure Databricks and Microsoft Fabric. - Lead the design of end-to-end data ingestion, transformation, storage, and analytics solutions. - Establish best practices for data modeling, governance, security, and performance optimization. - Drive cloud migration and modernization initiatives for enterprise data platforms. Data Engineering - Design and optimize ETL/ELT pipelines using Azure Databricks and Microsoft Fabric. - Develop scalable data processing solutions for structured and unstructured data. - Implement data quality frameworks, monitoring, and automation. - Optimize SQL queries and database performance across large-scale environments. - Ensure adherence to enterprise data governance, compliance, and security standards. Business Intelligence & Analytics - Design enterprise reporting and analytics solutions using Power BI. - Build semantic models, dashboards, KPIs, and executive reporting frameworks. - Enable self-service BI capabilities across business units. - Collaborate with business stakeholders to translate reporting requirements into technical solutions. Client & Account Management - Serve as the primary technical advisor for strategic customer accounts. - Build and maintain strong client relationships by understanding business goals and technology roadmaps. - Lead solution discussions, architecture workshops, and technical presentations. - Identify opportunities for digital transformation, upselling, and service expansion. - Collaborate with delivery, sales, and pre-sales teams to ensure successful project execution. - Manage customer expectations, delivery governance, risk mitigation, and escalation handling. Leadership - Mentor and guide architects, data engineers, and BI developers. - Conduct architecture reviews, code reviews, and technical governance sessions. - Define engineering standards, reusable frameworks, and best practices. - Drive innovation and adoption of emerging Microsoft data technologies. Technical Skills - 15+ years of experience in Data Engineering, Data Architecture, or Analytics. - Strong expertise in Azure Databricks. - Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Data Factory, OneLake, Real-Time Analytics). - Expert-level SQL programming and query optimization. - Solid experience in Power BI development, administration, and enterprise deployment. - Expertise in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. - Experience with PySpark, Spark SQL, and Python. - Knowledge of Delta Lake architecture and medallion design patterns. - Experience with CI/CD, Azure DevOps, Git, and Infrastructure as Code. - Understanding of data governance, security, Purview, RBAC, and compliance frameworks. Loc: Bangalore Notice: immediate Hybrid( 3 days a week) Interview: F2F interview in Bangalore Work Location: In person .