Join a leading technology services firm committed to accelerating client success and driving positive societal impact through responsible innovation. We are seeking a skilled Data Engineer with expertise in AWS Sagemaker/Bedrock, ETL processes, and Snowflake to contribute to our advanced AI and ML solutioning efforts.

This role is ideal for an experienced professional passionate about building scalable, reliable, and innovative data solutions. You will work with a dynamic team, translating complex business needs into robust technical implementations and advancing our AI/ML capabilities.

Leverage your extensive experience in Data Warehousing and Business Intelligence to develop and implement cutting-edge AI and Machine Learning solutions. Your contributions will be crucial in enhancing our capabilities in areas like Generative AI and MLOps.

Develop and maintain robust ETL/ELT pipelines using tools like Snowflake, DBT, and AWS Glue.

Design and implement data models for data warehousing and analytics.

Collaborate with Data Science and ML Engineering teams to support AI/ML platform development and deployment.

Build and manage MLOps pipelines for model deployment, monitoring, and governance.

Troubleshoot and resolve complex production issues within data and AI/ML systems.

Translate business and AI/ML requirements into scalable technical solutions, ensuring strong focus on automation and operational excellence.

A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field.

Minimum of 8 years of experience in Data Warehousing/BI technologies, with demonstrated exposure to AI/ML solutioning.

Hands-on experience with AWS Sagemaker, AWS Bedrock, DBT, and Snowflake is essential.

Proven ability to work effectively across Data Engineering, Data Science, ML Engineering, Cloud, and DevOps teams.

Strong analytical, problem-solving, and stakeholder management skills are required.

Experience with enterprise-scale AI/ML platforms, data governance, security, privacy, and regulatory requirements is highly desirable.

Familiarity with Generative AI, LLMOps, RAG pipelines, vector databases, or AI agents is a plus.