Requirements

Proven work experience as a senior data architect in Big data projects with a minimum of 10-12 years of
experience
· Experience designing and developing big data solutions for Azure Cloud
· Understanding of Spark, Python, and various Azure components
· Highly experienced to Develop & maintain enterprise data models for data initiatives
· Highly experienced in Data analysis, SQL, and Spark SQL skills.
· Strong knowledge of data profiling, Data standardization, transformation, and Data cleansing.
· Should have worked with a huge volume of data & used best practices.
· Strong knowledge of concepts like Data quality, Master data management, Data Governance
· Highly experienced in Dimensional Modeling Star schema, cube design, ETL, Spark SQL, SQL
· Strong experience with statistical information in the huge dataset to identify patterns, relationships &
problems
· Should be able to review existing data landscape & develop a comprehensive strategy for data
consolidation, Performance improvement
· End-to-end implementation experience of data pipelines across different layers of data warehouse
data lake
· Ability to conceptualize the design and develop of technical systems as per requirements
· Responsible for handling the technical tracks of architecture consulting and product selection
· Responsible for steering requirements as an SME to identify and achieve business goals efficiently
· Optimize performance of systems and create reference benchmarks as well as suggest best practices
· Understand the technology stack in depth in the project
· Drive effort reduction through the use of efficient architecture design and technical solution