Senior Data Architect

Senior Data ArchitectRequired Skills & ExperienceRequirements / Must-Haves10+ 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.Nice to Have Skills & ExperienceExperience 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 DescriptionSeeking 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.