Data Architect

Good to have skills –Revenue Data PlatformAzure, Snowflake,DatabricksAWSKey ResponsibilitiesDefine 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 adoptionDesign 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 enterpriseRequired QualificationsProven 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 practicesExperience working with CI/CD tools such as GitLab Ability to bridge strategic architecture and hands-on engineering executionStrong 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