Walk-in || Databricks Architect || F2F Drive

Role & responsibilities Solution Architecture & Platform Leadership Architect enterprise-scale Lakehouse solutions using Azure Databricks. Design scalable, secure and cost-optimized data platforms on Azure. Define reference architectures, standards, design patterns and reusable frameworks. Lead architecture reviews, technical governance, and solution blueprinting. Create Low-Level Design (LLD) documents from High-Level Architecture. Define engineering playbooks, reusable assets and implementation templates. Drive architecture consistency across multiple projects and business domains. Partner with Enterprise Architects, Product Owners, Governance Teams and Business Stakeholders. Lead technical discussions with customer architects and leadership teams. Data Engineering Execution Ingestion Framework Design, Medallion Architecture Implementation, Transformation Engineering, Data Quality Engineering, Performance & Cost Optimization. Data Modeling & Gold Layer Architecture Design enterprise data models supporting analytics, reporting, AI and self-service consumption. Governance & Data Quality Architecture Implement enterprise governance standards through architectural controls. DevOps, Automation & Platform Engineering Azure DevOps Ownership, CI/CD Implementation, Infrastructure as Code, Platform Automation and Production Support. Team Enablement & Technical Leadership Mentor Data Engineers and Technical Leads. Conduct architecture and code reviews. Establish engineering standards and best practices. Develop reusable templates, accelerators and knowledge assets. Drive technical onboarding programs. Act as Level-3 escalation point for delivery teams. Foster an Automation-First engineering culture. Preferred candidate profile Azure Databricks Delta Lake Delta Live Tables (DLT) Unity Catalog Azure Platform Azure Data Factory (ADF) Azure Data Lake Storage Gen2 Programming & Engineering PySpark (Advanced) Python (Advanced) SQL (Expert) DevOps & Automation Azure DevOps CI/CD Pipelines Git Terraform PowerShell Infrastructure as Code Governance & Data Quality Unity Catalog Star Schema Snowflake Schema Visualization & Consumption Power BI Microsoft Fabric (Preferred) Semantic Models Role & responsibilities Solution Architecture & Platform Leadership Architect enterprise-scale Lakehouse solutions using Azure Databricks. Design scalable, secure and cost-optimized data platforms on Azure. Define reference architectures, standards, design patterns and reusable frameworks. Lead architecture reviews, technical governance, and solution blueprinting. Create Low-Level Design (LLD) documents from High-Level Architecture. Define engineering playbooks, reusable assets and implementation templates. Drive architecture consistency across multiple projects and business domains. Partner with Enterprise Architects, Product Owners, Governance Teams and Business Stakeholders. Lead technical discussions with customer architects and leadership teams. Data Engineering Execution Ingestion Framework Design, Medallion Architecture Implementation, Transformation Engineering, Data Quality Engineering, Performance & Cost Optimization. Data Modeling & Gold Layer Architecture Design enterprise data models supporting analytics, reporting, AI and self-service consumption. Governance & Data Quality Architecture Implement enterprise governance standards through architectural controls. DevOps, Automation & Platform Engineering Azure DevOps Ownership, CI/CD Implementation, Infrastructure as Code, Platform Automation and Production Support. Team Enablement & Technical Leadership Mentor Data Engineers and Technical Leads. Conduct architecture and code reviews. Establish engineering standards and best practices. Develop reusable templates, accelerators and knowledge assets. Drive technical onboarding programs. Act as Level-3 escalation point for delivery teams. Foster an Automation-First engineering culture. Preferred candidate profile Azure Databricks Delta Lake Delta Live Tables (DLT) Unity Catalog Azure Platform Azure Data Factory (ADF) Azure Data Lake Storage Gen2 Programming & Engineering PySpark (Advanced) Python (Advanced) SQL (Expert) DevOps & Automation Azure DevOps CI/CD Pipelines Git Terraform PowerShell Infrastructure as Code Governance & Data Quality Unity Catalog Star Schema Snowflake Schema Visualization & Consumption Power BI Microsoft Fabric (Preferred) Semantic Models