Senior Data Engineer with AI/ML and MLOps

Position: Senior Data Engineer

Location: Dallas, TX

Hybrid Onsite: Once a month

Duration: 6 Month Contract To Hire

Must Haves:

• 10+ years of experience in data engineering with a proven track record in large-scale enterprise environments.
• Deep expertise in Snowflake and cloud-native platforms  - AWS, Azure, or Google Cloud Platform - ideally Google Cloud Platform
• Strong hands-on skills with SnowSQL, Python, and dbt for data pipeline development and transformation.
• Experience architecting and supporting AI/ML-ready ecosystems.
• Familiarity with Medallion Architecture or similar layered data approaches.
• Demonstrated ability to lead initiatives, collaborate across teams, and mentor engineering staff.

Nice to Have:

• Exposure to data visualization, MLOps, or data science workflows.
• Experience in Consumer Packaged Goods organization.

Key Responsibilities:

• Design, build, and optimize scalable data pipelines and workflows across cloud-native environments.
• Implement and maintain data warehousing solutions using Snowflake and related modern platforms.
• Develop and manage transformation workflows leveraging SnowSQL, Python, and dbt.
• Architect and prepare AI/ML-ready data ecosystems to support data science and advanced analytics initiatives.
• Apply the Medallion Architecture (Bronze/Silver/Gold) framework to ensure data quality, lineage, and usability.

Summary:

• We are seeking a highly experienced Senior Data Engineer (10+ years) to join a growing Data & Analytics team.
• The ideal candidate will bring deep expertise in modern data platforms and pipeline engineering, with a strong ability to prepare data ecosystems that enable advanced analytics and AI/ML use cases.
• This role requires both technical leadership and the ability to collaborate with cross-functional stakeholders.
• Core Requirement: Heavy hands-on Snowflake experience
• Must have strong Data Warehouse background (traditional DW, not Data Science or AI/ML Engineering)
• Experience with both Data Warehouses and Data Lakes
• Strong understanding of architecture concepts, especially Medallion Architecture (Bronze/Silver/Gold layers)
• Looking for someone technically strong but also able to communicate well in meetings and understand KDP’s business context
• Prefer candidates who have worked across multiple organizations and with different types of architectures
• Deep expertise in data warehousing and modern data platforms (Snowflake, cloud-native solutions).
• Strong skills in snowSQL, Python, and dbt for building scalable data pipelines and transformation workflows.
• Experience preparing AI/ML-ready data ecosystems and supporting advanced analytics.