Management Consultant - Data Engineer

IBM; Bellevue (WA); Remote; USD 110,000 - 170,000; Full time

Job summary

IBM Consulting is seeking a Data Engineer specializing in Data Platforms-Databricks to design, build, and deploy data and AI solutions on the Databricks platform for client use cases. You will collaborate with stakeholders to deliver scalable data pipelines and performant data platforms across engagements.

This role can be performed from anywhere in the US, offering opportunities to influence data strategy, cloud migrations, and AI initiatives while working with leading clients and IBM partners

Qualifications

• Deep expertise in Databricks, designing, developing and deploying data and AI solutions on the Databricks platform.
• Experience in data engineering, including data processing, storage and retrieval to build scalable data pipelines.
• Cloud-based data platforms: migration, deployment and management.

Responsibilities

• Implement Data and AI Use Cases: design, develop and deploy data and AI solutions on Databricks to meet client needs and drive value.
• Enhance Databricks Platform: collaborate with stakeholders to identify improvements and ensure performance and scalability.
• Drive Solution Delivery: lead delivery of data and AI solutions with clients to meet requirements and outcomes.

Skills

Databricks

Data engineering

Cloud computing

AI solutions

Solution delivery

Tools

Databricks

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This position is responsible for implementing Data and AI use cases on the Databricks platform.

Your primary responsibilities will include:

• 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.

*This job can be performed from anywhere in the US.

Required technical and professional expertise

• Deep Expertise in Databricks: Proven experience with designing, developing, and deploying data and AI solutions on the Databricks platform, with a strong understanding of its architecture and capabilities.
• Experience with Data Engineering: 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.
• Cloud Computing Knowledge: Experience with cloud-based technologies and infrastructure, including migration, deployment, and management of cloud-based data platforms.
• Certification in Data and AI: Possession of relevant certifications in data engineering, data science, or AI, demonstrating expertise in implementing data and AI use cases on cloud-based platforms.
• Experience with Solution Delivery: 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.

Preferred technical and professional experience

• Cloud Migration Expertise: 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.
• Advanced Data Engineering: 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.
• AI Solution Development: 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.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.