Data Engineer

About the role

The Data Enablement Engineer is responsible for turning enterprise data into trusted, scalable, and business‑ready data products that support analytics, decision‑making, and next‑generation AI solutions. You will work closely with business stakeholders, analysts, and engineering teams to design clean, intuitive data assets that enable self‑service analytics and accelerate insight across the organization.

Key responsibilities

• Design and build business‑facing data views and marts in Snowflake for analysts, domain stakeholders, and operational use cases.
• Create curated data views that serve as trusted, walled‑garden assets for AI agents, ensuring data is governed and unambiguous.
• Experiment with Snowflake Semantic Views and trusted queries, moving them to production‑ready tools.
• Serve as an early practitioner for Model Context Protocol (MCP) data interfaces in Snowflake.
• Leverage BI semantic model patterns (Power BI tabular models, Tableau Data Extracts) to shape data structures.
• Iterate rapidly with stakeholders, refining data products through multiple feedback cycles.
• Expose structured and unstructured data sources in a consumable format for non‑technical users.

Required profile

• Strong problem‑solving mindset with the ability to handle ambiguous requirements.
• Excellent communication skills to collaborate with business users and technical teams.
• Curiosity and passion for making data more accessible, trustworthy, and impactful.

Required skills

• Snowflake
• Power BI
• Tableau
• Model Context Protocol (MCP)
• Semantic Views
• Data modeling and SQL