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 and Artificial Intelligence. • 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace. • Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud. • Deep hands-on experience in Azure Databricks and all AZURE related technologies and functionalities such as Azure Synapse is a MUST. • Experience in implementing Snowflake data warehousing solutions including the latest innovations such as Cortex, Data marketplace, Apps etc… • Experience in within a consulting firm or similar environment, with a focus on cloud data analytics in the MedTech industry. • 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, Tableau, ThoughtSpot etc. • Strong ERP knowledge (SAP) in manufacturing, business acumen and ability to translate complex technical concepts into business value. • Excellent communication, presentation, and interpersonal skills. • Proven track record of successfully leading and delivering data analytics projects from conception to completion for fortune clients • Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.

Requirements