Job Category: Tech Jobs
Hiring For: Tech Mahindra
Job Location: Pan India
Experience: 15 to 20 years
| Responsibilities: | ||||||||||||||
| Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. | ||||||||||||||
| Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. | ||||||||||||||
| Develop high-level and detailed data architecture and design documentation. | ||||||||||||||
| Implement data management and data governance strategies, ensuring compliance with industry standards. | ||||||||||||||
| Architect both batch and real-time data solutions, leveraging cloud native services and technologies. | ||||||||||||||
| Design and manage data pipeline processes for historic data migration and data integration. | ||||||||||||||
| Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. | ||||||||||||||
| Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. | ||||||||||||||
| Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. | ||||||||||||||
| Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. | ||||||||||||||
| Requirements | ||||||||||||||
| Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments. | ||||||||||||||
| Extensive Experience with common Azure services such as ADLS, Synapse, Databricks, Azure SQL etc. | ||||||||||||||
| Experience on Azure services such as ADF, Polybase, Azure Stream Analytics | ||||||||||||||
| Proven expertise in Databricks architecture, Delta Lake, Delta sharing, Unity Catalog, data pipelines, and Spark tuning. | ||||||||||||||
| Strong knowledge of Power BI architecture, DAX, and dashboard optimization. | ||||||||||||||
| In-depth experience with SQL, Python, and/or PySpark. | ||||||||||||||
| Hands-on knowledge of data governance, lineage, and cataloging tools such as Azure Purview and Unity Catalog. | ||||||||||||||
| Experience in implementing CI/CD pipelines for data and BI components (e.g., using DevOps or GitHub). | ||||||||||||||
| Experience on building symantec modeling in Power BI. | ||||||||||||||
| Strong knowledge of Power BI architecture, DAX, and dashboard optimization. | ||||||||||||||
| Strong expertise in data exploration using SQL and a deep understanding of data relationships. | ||||||||||||||
| Extensive knowledge and implementation experience in data management, governance, and security frameworks. | ||||||||||||||
| Proven experience in creating high-level and detailed data architecture and design documentation. | ||||||||||||||
| Strong aptitude for business analysis to understand domain data requirements. | ||||||||||||||
| Proficiency in Data Modelling using any Modelling tool for Conceptual, Logical, and Physical models is preferred | ||||||||||||||
| Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. | ||||||||||||||
| Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. | ||||||||||||||
| Familiarity with Data Fabric and Data Mesh architecture is a plus. | ||||||||||||||
| Excellent verbal and written communication skills. | ||||||||||||||