Description

You will lead data analytics initiatives by providing technical advisory, solution design, and architectural support for client environments.

Responsibilities

• Serve as a strategic advisor to clients, providing guidance on leveraging data analytics for outcome-driven solutions.
• Conduct assessments of client data infrastructure, analytics capabilities, and business processes.
• Design and oversee the implementation of advanced data analytics solutions tailored to life sciences and manufacturing needs.
• Develop customized data analytics proposals and lead client presentations to articulate service value.
• Design and implement secure, scalable, and highly available cloud-based solutions and estimations on Azure.

Required Skills

• 15+ years in data analytics consulting with at least 10+ years in a Senior Architect role focusing on data analytics, Cloud, and Artificial Intelligence.
• 5+ years designing and solutioning with Databricks, Snowflake, PySpark, and Big Data tools including DataOps, Data Engineering, and Data Orchestration.
• Expertise in Azure Databricks on Azure is a requirement.
• Proficiency in Python, R, and SQL.
• Deep technical understanding of major cloud platforms including Azure, GCP, and AWS.
• Strong technical experience with BI reporting tools such as Power BI, Tableau, or ThoughtSpot.
• Strong ERP knowledge (SAP) within a manufacturing context.
• Proven track record of leading and delivering data analytics projects for Fortune clients.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or a related field.

Preferred Skills

• Relevant certifications such as Snowflake, Databricks, Certified Analytics Professional, or AWS Certified Big Data - Specialty.

Key Skills

Education

Any Graduate