Management Consultant - Data Engineer

IBM is hiring a Management Consultant - Data Engineer to build and enhance the Databricks platform for client data and AI use cases. The role designs and deploys data and AI solutions, improves platform performance and scalability, and leads delivery in collaboration with clients and stakeholders.

Responsibilities:

• Implement Data and AI Use Cases: Design, develop, and deploy data and AI solutions on the Databricks platform to meet client needs, driving business value through data-driven insights
• Enhance Databricks Platform: Collaborate with stakeholders to identify areas for improvement and implement enhancements to the Databricks platform, ensuring optimal performance and scalability
• Drive Solution Delivery: Lead the delivery of data and AI solutions, working closely with clients to understand their requirements and ensure successful project outcomes

Requirements:

• Proven experience with designing, developing, and deploying data and AI solutions on the Databricks platform, with a strong understanding of its architecture and capabilities
• Skilled in data engineering principles, including data processing, storage, and retrieval, with the ability to apply this knowledge to build scalable and efficient data pipelines
• Experience with cloud-based technologies and infrastructure, including migration, deployment, and management of cloud-based data platforms
• Possession of relevant certifications in data engineering, data science, or AI, demonstrating expertise in implementing data and AI use cases on cloud-based platforms
• Proven track record of leading the delivery of data and AI solutions, working closely with clients to understand their requirements and ensure successful project outcomes
• Experience with migrating data platforms to cloud-based infrastructure, including planning, execution, and post-migration optimization
• Ability to assess existing infrastructure and develop strategies for seamless migration to cloud-based environments
• Deep understanding of data engineering principles, including data warehousing, ETL, and data governance
• Ability to design and implement scalable and efficient data pipelines, leveraging expertise in data processing, storage, and retrieval
• Experience with developing and deploying AI solutions on cloud-based platforms, including natural language processing, machine learning, and deep learning
• Ability to collaborate with stakeholders to identify business opportunities and develop AI-powered solutions to drive business value