Senior Data Architect

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.

Requirements / Must-Haves * 10+ years of Data/IT experience with 5+ years at the Data Architect level, owning enterprise-level data architecture and solution design. * Strong Data Modeling experience, including conceptual, logical, and physical models and designing how data from multiple systems connects and relates. * Strong Snowflake architecture experience, including database/schema design, data warehousing, data pipelines, and scalable data solutions. * Experience architecting data integration across multiple sources, leveraging technologies/concepts such as ETL/ELT, APIs, data pipelines, and batch and/or streaming ingestion. * Experience establishing Data Governance and architecture standards, including data quality, metadata, data lineage, data ownership, access controls, and data lifecycle management. * Experience working cross-functionally with Data Engineering, Network/Infrastructure, Automation, Cloud, Security, and Operations teams to gather requirements and translate them into technical architecture. * Experience leading medium-to-large data initiatives, independently bringing new technologies/solutions to the table and driving them through execution. Experience designing data architecture that supports automation, including governed APIs, automated data pipelines/workflows, validation, and reliable data integration. * 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.