Senior Data Architect

Required Skills & Experience Requirements / Must-Haves\n\t• 10+ years of Data/IT experience with 5+ years at the Data Architect level, owning enterprise-level data architecture and solution design.\n\t• Strong Data Modeling experience, including conceptual, logical, and physical models and designing how data from multiple systems connects and relates.\n\t• Strong Snowflake architecture experience, including database/schema design, data warehousing, data pipelines, and scalable data solutions.\n\t• Experience architecting data integration across multiple sources, leveraging technologies/concepts such as ETL/ELT, APIs, data pipelines, and batch and/or streaming ingestion.\n\t• Experience establishing Data Governance and architecture standards, including data quality, metadata, data lineage, data ownership, access controls, and data lifecycle management.\n\t• Experience working cross-functionally with Data Engineering, Network/Infrastructure, Automation, Cloud, Security, and Operations teams to gather requirements and translate them into technical architecture.\n\t• Experience leading medium-to-large data initiatives, independently bringing new technologies/solutions to the table and driving them through execution.\nExperience designing data architecture that supports automation, including governed APIs, automated data pipelines/workflows, validation, and reliable data integration. Nice to Have Skills & Experience • Experience working with network, infrastructure, or complex operational data including areas such as network inventory, topology, configuration, telemetry, observability, events, performance, ITSM, or CMDB data. Job Description Seeking a Senior Data Architect who can own the big picture of a complex enterprise data environment while remaining technically hands-on. This person will focus heavily on Snowflake, Data Modeling, multi-source data integration, and designing data architecture that supports automation and network/infrastructure operations. Insight Global