Description

Lead data analytics initiatives by providing technical advisory, solution design, and architectural support for clients.

Responsibilities

• Provide strategic guidance on data analytics and outcome-driven solutions as a technical advisor.
• Conduct in-depth 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.
• Develop customized data analytics proposals and solutions aligned with industry trends.
• Design and implement secure, scalable, and highly available cloud-based solutions on Azure.

Required Skills

• 15+ years in data analytics consulting with 10+ years in a Senior Architect role within a consulting firm.
• 5+ years designing solutions using Databricks, Snowflake, PySpark, and Big Data tools.
• Hands-on expertise in Azure Databricks on Azure.
• Proficiency in Python, R, and SQL.
• Deep technical understanding of cloud platforms including Azure, AWS, and GCP.
• Experience with DataOps, Data Engineering, Data Integration, Data Orchestration, and Data Marketplace.
• Strong technical experience with BI reporting tools such as Power BI, Tableau, or ThoughtSpot.
• Strong ERP knowledge (SAP) within a manufacturing context.
• Bachelor's degree in Computer Science or a related field.

Preferred Skills

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

Key Skills

Education

Bachelor's degree in Computer Science