The Senior Data Engineer role at IBM focuses on designing and scaling data pipelines and infrastructure for AI and analytics projects. The position is critical for ensuring data quality, accessibility, and governance, which are essential for successful AI use cases. The engineer will collaborate with AI architects and engineers to deliver high-quality data solutions. This role is part of a dynamic team that values curiosity and innovation in driving client impact.

• Bachelor's degree in a relevant field is required.
• 7+ years of experience in designing, developing, and maintaining scalable data pipelines across Azure and AWS.
• Strong hands-on experience with Azure Data Factory, Azure Data Lake, AWS S3, AWS Glue, Databricks, and Snowflake.
• Experience in implementing data quality controls, metadata management, and governance capabilities.

• Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data.
• Develop scalable architectures using Microsoft Fabric, Databricks, and Azure Synapse Analytics.
• Implement data transformation and orchestration workflows that support AI models and analytics dashboards.
• Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.