Cloud Data Architect Location: 100% Remote

Cloud Data Architect Location: 100% Remote Experience Requirements Bachelor's degree in Computer Science, Engineering, or related field and 10+ years of experience in enterprise data engineering, data warehouse architecture, or cloud data architecture, with demonstrated progression into architectural ownership and technical leadership roles. Proven experience designing and owning end‑to‑end data architectures, including on‑prem, cloud, and hybrid environments — not simply implementing architectures defined by others. Deep understanding of hybrid data ecosystems, including: Coexistence of on‑prem and cloud data platforms Strategies for moving, synchronizing, and governing data across environments Designing architectures that support gradual migration rather than lift‑and‑shift Strong data warehouse and lake house architecture expertise, including: Designing and operating Bronze / Silver / Gold data layers Blending and federating data across multiple warehouses (on‑prem and cloud) Supporting governed analytics, semantic layers, and enterprise reporting Advanced data modeling skills, with hands‑on experience designing: 3NF and normalized operational models Dimensional/star schemas Enterprise semantic and consumption layers for analytics and BI Expert‑level SQL proficiency across both cloud and traditional RDBMS platforms, with experience in systems such as: Netezza or other MPP databases SQL Server and similar enterprise relational platforms Modern cloud data warehouses or lake house query engines Cloud platform experience (Azure, AWS, or GCP) with a strong understanding of: Cloud storage, compute, networking, and security concepts Cost‑aware architecture design, scaling strategies, and performance optimization Designing platforms that are resilient, secure, and future‑ready Experience establishing data governance and architectural standards, including: Defining data ownership, lineage, quality, and access patterns Partnering with analytics, security, and business stakeholders to enforce governance at scale Ability to operate as a senior technical leader, including: Making architectural trade‑off decisions and clearly articulating rationale Guiding engineering teams while remaining hands‑on at the design level Translating business, analytics, and SAP requirements into durable platform designs Preferred / Bonus Experience Experience modernizing or migrating legacy on‑prem data warehouses (e.g., Netezza or other MPP systems) to cloud‑native lake house or warehouse architectures. Hands‑on experience with Databricks (Delta Lake, Spark/PySpark, SQL) and/or Snowflake, including: Lakehouse or warehouse design patterns Performance tuning and cost optimization Security, data sharing, and governance controls Familiarity with SAP‑centric analytics ecosystems, including SAP Business Data Cloud / Datasphere, SAP Analytics Cloud (SAC) or Integration patterns with SAP S/4HANA and non‑SAP data sources Experience supporting or modernizing enterprise BI platforms, including migrations from tools such as Cognos to Tableau or Power BI, with a focus on architecture and semantic design (not report development). Knowledge of data governance frameworks and tooling, such as: Azure Purview, Unity Catalog, or comparable platforms Exposure to AI/ML enablement architectures