position title: Data Architect
Experience:12\+ Year
Location: Bangalore
Notice period: Immediate\- 15 Days
working days and time: 5 days working and EST Time zone
Skill set : Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory , SQL Server \& Data Migration (MariaDB, ) ,Data Modeling (Kimball, Data Vault, Lakehouse) ,Apache Spark \& Microsoft Purview , AI Data Architecture (RAG, Vector Search, Embeddings) ,Team Leadership, Solution Architecture \& Client Consulting
Microsoft Certifications: Azure Data Engineer Associate, Fabric Analytics Engineer Associate### **Key Responsibilities**
- Design and maintain Azure\-based reference architectures using Microsoft Fabric, Synapse, ADLS Gen2, Azure SQL, Cosmos DB, and Purview.
- Lead enterprise data modeling initiatives, including Lakehouse, Data Vault, Dimensional (Kimball), and OLTP architectures.
- Architect and oversee ETL/ELT pipelines using Azure Data Factory, Synapse, Databricks, Spark, dbt, and Airflow.
- Lead large\-scale data migration projects across SQL Server, MariaDB, MySQL, PostgreSQL, and cloud platforms.
- Build and deliver Data Readiness for AI solutions, including data quality, governance, lineage, cataloging, and master data management.
- Partner with AI teams to develop scalable data layers for AI/ML, RAG, vector search, and training datasets.
- Establish governance, data quality, security, and compliance standards using Microsoft Purview.
- Support presales activities, solution architecture, client workshops, proposals, and SOW creation.
- Lead and mentor data engineering teams while driving innovation and best practices.
### **Required Skills**
- Strong expertise in Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, ADLS Gen2, Cosmos DB, and Microsoft Purview.
- Hands\-on experience with SQL Server, MariaDB/MySQL, PostgreSQL, and enterprise data migrations.
- Deep knowledge of Data Modeling, Lakehouse Architecture, Data Vault, and Dimensional Modeling.
- Experience with Spark, Airflow, dbt, Kafka, Debezium, and data quality frameworks.
- Knowledge of AI/ML data preparation, vector embeddings, RAG architectures, and feature engineering.
- Experience with Terraform/Bicep, CI/CD, and cloud\-native data platform operations.
- Strong client\-facing, leadership, and presales experience.
### **Preferred Qualifications**
- Microsoft Azure Data Engineer Associate, Fabric Analytics Engineer Associate, or Azure Solutions Architect Expert certifications.
- Experience in regulated industries (HIPAA, SOC 2, PCI, Financial Services).
- Background in consulting/services organizations and multi\-client architecture environments.
- Contributions to open\-source data engineering or AI/ML projects.
### **Requirements**