Snowflake Data Engineer, Senior - Infor

Description

We are looking for a technically sharp, solution-oriented Senior Data Engineer with deep expertise in Snowflake to join our growing data team. This role is ideal for someone who can operate as a hands-on implementation partne—working closely with business and technical stakeholders to deliver end-to-end data solutions from discovery and design through implementation, enablement, and optimization.

In this role, you will lead the design and development of scalable Snowflake-based data solutions, help drive AI readiness across the data platform, and enable capabilities such as semantic layer development, governed data access, metadata/catalog readiness, and AI-assisted engineering workflows . You will play a key role in modernizing the data ecosystem, contributing to technical direction, and ensuring the platform is ready to support analytics, automation, and AI use cases.

The ideal candidate combines strong technical depth in Snowflake with excellent communication and presentation skills, a high degree of ownership, and a strong motivation to contribute beyond execution—bringing ideas, influencing direction, and helping teams and stakeholders move faster with confidence.

What We’re Looking For

We’re looking for a senior engineer who is more than just technically strong—we want someone who can own delivery end to end , work closely with stakeholders, and help translate business needs into scalable Snowflake solutions. This person should be comfortable operating as a hands-on builder, trusted technical partner, and enabler of AI readiness across the data platform.

The ideal candidate is:

• Deeply experienced in Snowflake and passionate about building modern cloud data solutions
• Comfortable acting as a forward-deployed engineer who can embed into initiatives and help move them from idea to production
• Strong in communication, presentation, and stakeholder engagement
• Motivated by contribution, continuous improvement, and solving meaningful business problems
• Knowledgeable about semantic layers, metadata/catalog readiness, data contracts, governed AI access, and AI-assisted engineering
• A collaborative mentor who raises engineering standards while remaining pragmatic and delivery-focused

A Typical Day in the Life Includes:

Data Platform & Engineering

• Design, build, and optimize scalable, secure, and high-performing data solutions in Snowflake including ingestion, transformation, modeling, and consumption layers.
• Develop and maintain robust ELT/ETL pipelines, data workflows, and transformation frameworks to support reporting, analytics, operational use cases, and AI initiatives.
• Build and optimize Snowflake data models using best practices for performance, maintainability, scalability, and cost efficiency.