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Associate Data Architect II - Revenue Data Platform - UST
Software Engineer
Design and implement scalable data architectures for a revenue platform, leveraging Snowflake, Azure, and advanced SQL/ETL techniques to enable real‑time analytics and business insights.
About the role
Key Responsibilities
- Design, build, and maintain the end‑to‑end data architecture for the revenue data platform, ensuring high performance and scalability.
- Develop logical and physical data models that support complex revenue reporting and analytics use cases.
- Implement robust ETL pipelines using Azure Data Factory and related tools to ingest, transform, and load data into Snowflake.
- Collaborate with data engineers, analysts, and business stakeholders to define data requirements and translate them into technical solutions.
- Establish data governance, security, and quality standards across the platform.
Requirements
- 5+ years of experience in data architecture or senior data engineering roles.
- Strong expertise in SQL and data modeling concepts, with hands‑on experience in Snowflake.
- Proficiency with Azure cloud services, especially Azure Data Factory, Blob Storage, and related data integration tools.
- Demonstrated ability to design and implement scalable ETL processes and data pipelines.
- Excellent problem‑solving skills and the ability to communicate complex technical concepts to non‑technical stakeholders.