Senior Consultant - AI Engineering

• Introduction
• At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk
• Your role and responsibilities
• As a Data Engineer specializing in Data Platforms-SnowFlake, you play a critical role in building and enhancing Snowflake platforms for client's Data and AI usecases.

This position focuses on implementing Data and AI solutions on Snowflake platforms.

Your primary responsibilities will include:

Design and Implement Solutions:

Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.

Enhance Platform Capabilities:

Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.

Leverage Key Skills:

Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions.

This role can be performed from anywhere in the US

• Required technical and professional expertise

• Snowflake Platform Expertise:

  Experience with designing and implementing data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance.

Data Engineering Knowledge:

Experience with data engineering principles and practices, including data modeling, data warehousing, and data governance.

Cloud Technology Proficiency:

Experience with cloud technologies, including migration, deployment, and management of cloud-based data platforms.

Solution Implementation Skills:

Experience with implementing data and AI solutions on Snowflake platforms, leveraging expertise in Snowflake, Data Engineering, and Cloud technologies.

Platform Enhancement Capabilities:

Experience with building and enhancing Snowflake platform capabilities to meet client needs and advance Data and AI applications.

• Preferred technical and professional experience

• Advanced Snowflake Platform Knowledge:

  Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI usecases on Snowflake platforms.

Cloud Architecture Expertise:

Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices.

Data Engineering Best Practices:

Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability.

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.