Sr. Data Architect (Data Products & Governance)

Responsibilities • Strategic Data Segmentation: Analyze existing data products to identify regional outliers and document the end-to-end "Runbook" for dividing global data spaces • Data Product Design: Architect and curate "Business-Ready" datasets within Snowflake, ensuring they align with a single source of truth for billing, customers, and assets. • Metadata & Lineage: Manage comprehensive documentation of data sources and their lineage to ensure transparency during the segmentation process. • Governance & Quality: Design and implement data quality policies and access controls, acting as a technical consultant to ensure regional compliance. • Cross-Functional Leadership: Partner with internal Architects and dedicated project teams to develop data ontologies that facilitate semantic understanding across global systems. Qualifications & Must-Haves • Industry Experience: Telecom experience is highly preferred. Familiarity with fiber network data (equipment, data centers, dark/lit fiber) is a significant advantage. • Technical Stack: * Snowflake: Expert-level proficiency in designing data products and schemas. • Salesforce: Strong experience navigating Salesforce data structures as a primary source. • Oracle Fusion: Preferred experience with Oracle Fusion integrations. • Core Experience: 7+ years in Data Engineering, Data Architecture, or Data Management. • Problem Solving: Proven ability to handle complex data "divorce" scenarios (divestitures or segmentations) where data overlap is high. • Tools: Familiarity with AWS S3 and data governance tools (e.g., Collibra, Alation) is a plus. Pay: $60.00 - $70.00 per hour Benefits: • Health insurance Application Question(s): • Do you require C2C? Experience: • Data management: 3 years (Required) • data engineering: 3 years (Required) • Snowflake: 1 year (Required) • Salesforce: 1 year (Required) • Oracle: 1 year (Preferred) • AWS: 1 year (Preferred) Work Location: Remote Apply tot his job Apply To this Job