

CBL Solutions
Senior Data Architect & Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect & Engineer with a contract length of "unknown" and a pay rate of "$XX/hour." It requires expertise in Snowflake architecture, ELT pipeline development, data modeling, and strong client communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Documentation #SAP #Scala #Workday #dbt (data build tool) #Tableau #Data Warehouse #Cloud #CRM (Customer Relationship Management) #Clustering #Strategy #Consulting #Data Architecture #Microsoft Power BI #Snowflake #Data Modeling #EDW (Enterprise Data Warehouse) #BI (Business Intelligence) #SQL (Structured Query Language) #Security
Role description
Job Overview
We are seeking a highly skilled Senior Data Architect & Engineer to support enterprise analytics and modern data platform initiatives. This is a client-facing role requiring strong expertise in Snowflake architecture, ELT pipeline development, data modeling, and stakeholder communication.
The ideal candidate will be comfortable leading architecture discussions while also being hands-on with implementation and optimization of enterprise-scale data solutions.
Key Responsibilities
Data Architecture & Strategy
• Lead architecture workshops with Finance, IT, and Data stakeholders
• Design scalable Snowflake data platforms and governance frameworks
• Define ELT architecture, integration patterns, and enterprise data standards
• Create technical documentation including:
• Data flow diagrams
• Architecture decision records
• Technical design specifications
• Establish enterprise metric definitions and governance standards
Data Engineering & Development
• Build and optimize Snowflake-based data warehouse solutions
• Develop governed ELT pipelines using dbt or similar frameworks
• Integrate ERP, CRM, FP&A, and enterprise operational systems
• Design scalable dimensional and analytical data models
• Optimize performance through:
• Clustering strategies
• Materialized views
• Warehouse tuning
• Compute efficiency improvements
• Perform reconciliation and validation against source systems
Client Engagement
• Partner directly with client business and technical teams
• Facilitate technical and business-facing working sessions
• Translate architecture concepts into business outcomes
• Independently manage delivery with minimal oversight
Required Skills & Experience
Core Technical Expertise
• Strong Snowflake architecture and optimization experience
• Advanced SQL development
• Data modeling and dimensional modeling
• dbt or equivalent ELT framework
• Enterprise data warehouse architecture
• Production-grade ELT pipeline development
• Performance tuning and governance/security implementation
Enterprise Integration Experience
Experience integrating platforms such as:
• NetSuite
• Salesforce
• SAP
• Adaptive Planning
• ERP / FP&A / Financial systems
Architecture & Documentation
• Architecture decision records (ADR)
• Technical design documentation
• Data flow diagrams
• Integration architecture documentation
Consulting & Communication
• Strong client-facing communication skills
• Experience leading architecture workshops
• Ability to work with business and non-technical stakeholders
• Independent consulting and delivery experience
Preferred Qualifications
• Workday Data Cloud
• Prism Analytics
• Workday Adaptive Planning
• FP&A modernization initiatives
• Finance data warehouse projects
• Power BI, Tableau, or Strategy One
• Experience working in consulting or multi-client environments
Job Overview
We are seeking a highly skilled Senior Data Architect & Engineer to support enterprise analytics and modern data platform initiatives. This is a client-facing role requiring strong expertise in Snowflake architecture, ELT pipeline development, data modeling, and stakeholder communication.
The ideal candidate will be comfortable leading architecture discussions while also being hands-on with implementation and optimization of enterprise-scale data solutions.
Key Responsibilities
Data Architecture & Strategy
• Lead architecture workshops with Finance, IT, and Data stakeholders
• Design scalable Snowflake data platforms and governance frameworks
• Define ELT architecture, integration patterns, and enterprise data standards
• Create technical documentation including:
• Data flow diagrams
• Architecture decision records
• Technical design specifications
• Establish enterprise metric definitions and governance standards
Data Engineering & Development
• Build and optimize Snowflake-based data warehouse solutions
• Develop governed ELT pipelines using dbt or similar frameworks
• Integrate ERP, CRM, FP&A, and enterprise operational systems
• Design scalable dimensional and analytical data models
• Optimize performance through:
• Clustering strategies
• Materialized views
• Warehouse tuning
• Compute efficiency improvements
• Perform reconciliation and validation against source systems
Client Engagement
• Partner directly with client business and technical teams
• Facilitate technical and business-facing working sessions
• Translate architecture concepts into business outcomes
• Independently manage delivery with minimal oversight
Required Skills & Experience
Core Technical Expertise
• Strong Snowflake architecture and optimization experience
• Advanced SQL development
• Data modeling and dimensional modeling
• dbt or equivalent ELT framework
• Enterprise data warehouse architecture
• Production-grade ELT pipeline development
• Performance tuning and governance/security implementation
Enterprise Integration Experience
Experience integrating platforms such as:
• NetSuite
• Salesforce
• SAP
• Adaptive Planning
• ERP / FP&A / Financial systems
Architecture & Documentation
• Architecture decision records (ADR)
• Technical design documentation
• Data flow diagrams
• Integration architecture documentation
Consulting & Communication
• Strong client-facing communication skills
• Experience leading architecture workshops
• Ability to work with business and non-technical stakeholders
• Independent consulting and delivery experience
Preferred Qualifications
• Workday Data Cloud
• Prism Analytics
• Workday Adaptive Planning
• FP&A modernization initiatives
• Finance data warehouse projects
• Power BI, Tableau, or Strategy One
• Experience working in consulting or multi-client environments






