Padmi

Databricks Architect ||F Drive (Maharashtra)

IndiaPosted 1 month ago
Infrastructure And DatabasesSeniorFull Time; Regular
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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. 2. Data Engineering Execution - Ingestion Framework Design, Medallion Architecture Implementation, Transformation Engineering, Data Quality Engineering, Performance & Cost Optimization. 3. Data Modeling & Gold Layer Architecture - Design enterprise data models supporting analytics, reporting, AI and self-service consumption. 4. Governance & Data Quality Architecture - Implement enterprise governance standards through architectural controls. 5. DevOps, Automation & Platform Engineering - Azure DevOps Ownership, CI/CD Implementation, Infrastructure as Code, Platform Automation and Production Support. 6. 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 .

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