Job description

• Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud • 5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace. • 7+ years' experience in designing Azure data warehouse and Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud. • Cloud Architect with experience in Azure ADF, ADLS Gen2, Databricks, Synapse, PySpark • Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud • Mandatory Experience in Azure Databricks and ADF, Azure Synapse and PySpark • Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). • Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices. • Strong technical experience in major BI reporting tools like Power BI • Relevant certifications in Azure, Databricks and Big Data are a plus. • Experience with integration of different data sources with Data Warehouse and Data Lake is required • Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning • Data Fabric, Mesh, Lakehouse data implementation experience.

Requirements