Description

Architect and lead the evolution of a scalable, enterprise-wide Revenue Data Platform to deliver actionable insights across business units.

This role is on-site.

Responsibilities

• Define and implement scalable data architecture and design patterns for the Revenue Data Platform.
• Translate business vision into technical roadmaps, incorporating cost optimization and governance strategies.
• Develop proof of concepts to validate architectural decisions and accelerate adoption.
• Collaborate with engineering teams to ensure hands-on alignment and execution of data solutions.
• Design solutions leveraging Azure, Snowflake, Databricks, and AWS for unified data access.

Required Skills

• 5+ years of experience as a Data Architect designing large-scale data platforms.
• Strong expertise in cloud data ecosystems, specifically Azure (AWS experience is a plus).
• Hands-on proficiency with Snowflake and Databricks.
• Experience with modern data engineering practices and CI/CD tools like GitLab.
• Deep understanding of data modeling, data governance, and platform scalability.
• Ability to bridge strategic architecture with hands-on engineering execution.

Preferred Skills

• Experience in Finance or Revenue domains.
• Familiarity with enterprise platforms such as SAP and Oracle.
• Exposure to AI/LLM tools (e.g., Claude) and their integration into data platforms.

Key Skills

Education

Any Gradute