Cloud Data Architect Location: 100% Remote
Job Description:
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
Working Place:
Remote, OR, USA
Company :
ESR Healthcare
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
Working Place:
Remote, OR, USA
Company :
ESR Healthcare