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
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