Data Warehouse Architect

RICEFW Technologies Inc; Michigan; On-site; USD 120,000 - 180,000; Full time

Job summary

RICEFW Technologies Inc in the United States (Michigan) is seeking a Data Warehouse Architect (Level 5) – Solutions Architect to lead data strategy and architecture across the enterprise, shaping data landscape to support business and technology goals.

The role requires strong experience in leading data architecture, developing reference architectures, and guiding RFP processes with vendors to deliver innovative data platform capabilities.

Qualifications

• Minimum 5years experience leading Data Architects and aligning data landscape with business objectives using TOGAF 9 or similar.
• Minimum 5years developing Reference Architectures and Architecture Patterns Library for Enterprise Data Platform.
• Minimum 3years driving RFP processes for selecting Data Platform Technologies with vendors.

Skills

Data Architecture Leadership

Architecture Frameworks

RFP & Vendor Engagement

Data Lake

Delta Lake

Data Warehousing

Databricks

EDP Capabilities

Education

BS in Computer Science / Data Science / Information Systems

Job description

Data Warehouse Architect (Level 5) – Solutions Architect

Required Skills (Must haves):

1. 1. Minimum 5years experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy.
2. 2. Minimum of 5years experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise.
3. 3. Minimum of 3years experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc.
4. 4. Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree

Most Preferred Skills

• -Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks