Data Architect - Revenue Data Platform

Key Responsibilities

• Define and architect a scalable, enterprise-wide Revenue Data Platform to support diverse business needs
• Translate business vision into robust data architecture, design patterns, and implementation roadmap
• Develop proof of concepts (POCs) to validate architectural decisions and accelerate adoption
• Design solutions leveraging modern data platforms including Azure, Snowflake, Databricks, and AWS
• Collaborate closely with engineering teams to ensure hands-on alignment and execution
• Incorporate cost optimization strategies into architecture and platform design
• Deliver incremental value aligned to specific business units through phased implementation
• Ensure data solutions enable high-quality, secure, and governed data access across the enterprise

Required Qualifications

• Proven experience as a Data Architect designing and implementing large-scale data platforms
• Strong expertise in cloud data ecosystems (Azure preferred; AWS experience is a plus)
• Hands-on experience with Snowflake, Databricks, and modern data engineering
• Experience working with CI/CD tools such as GitLab
• Ability to bridge strategic architecture and hands-on engineering execution
• Strong understanding of data modeling, data governance, and data platform scalability

Preferred Qualifications

• Experience in Finance/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