Azure Technical Lead-Data Engg & Mgmt

Serve as a trusted advisor to clients, providing strategic guidance on leveraging data analytics to drive innovation and outcome driven solutions.
Conduct in-depth assessments of clients data infrastructure, analytics capabilities, and processes.
Design and oversee the implementation of advanced data analytics solutions tailored to the unique needs of life sciences organizations.
Collaborate with other technology leads to understand the unique challenges and opportunities faced by clients.
Develop customized data analytics proposals and solutions aligned with client needs and industry trends.
Lead client meetings and presentations to articulate the value proposition of our data analytics services.
Skills Required
Overall 8+ years in data analytics consulting and at least 6 + Lead role within a consulting firm with a focus on data analytics, advanced analytics, Cloud
5+ years in designing, solutioning the Databricks, Pyspark, Azure Synapse, Azure Databricks, SQL, Unit Catalog and Big data tools including Data Ops, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
1.Business User champion who will drive the analytics adoption among the business teams leading from front.
2.Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud.
3.Hands on individual with ability to self-explore on market trends and provide POV on how it will have an impact on existing landscapes and suggest recommendations.
4.Experience in Azure Databricks on Azure is a MUST.

Additional Requirements
Experience in Azure Databricks on Azure is a MUST.