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Enterprise Data Warehouse Architect

Role overview

Qualifications

  • 10+ years of experience in Data Architecture
  • Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory
  • Experience with cloud-based data modernization
  • Expertise in conceptual, logical, and physical data modeling

Responsibilities

  • Assess current-state data architectures, data models, integrations, and data flows
  • Define target-state and transition-state data architectures aligned with business and technology strategies
  • Develop architecture roadmaps supporting migration to Microsoft Fabric and modern data platform capabilities
  • Collaborate with data and systems architects, enterprise architects, product managers, and business stakeholders

Key facts

Other skills

  • Communication
  • Problem Solving
  • Detail Oriented
  • Leadership

About the company

Strategize it Inc. logo

Strategize it Inc.

IT Services & IT Consulting

Leader in IT Service Delivery. STRATEGIZE IT believes in providing value to our customers in everything we do. - Aligning IT with business values - Ensuring solutions are inline with overall strategy. - Improving the methods and processes used to deliver and manage technology. We work with Enterprise companies in both the public and private sectors and have industry experience in the financial, media, agriculture and insurance industries.

Company details

IndustryIT Services & IT Consulting
Company size2 - 10

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Job description

This is a remote position.

One of our large clients is looking for a contract Enterprise Data Warehouse Architect; details are as follow:

Contract: 6 Months to start with 
Billable working Hours: 8 Hrs/day
Remote Role

Scope of work

The client is seeking an experienced enterprise data warehouse architect to support the modernization of its data ecosystem and implementation of a Microsoft Fabric-based data platform. The consultant will define current-state, transition-state, and target-state data architectures, establish data integration and modeling approaches, and provide architectural guidance to support business and technology roadmaps.

At client’s sole discretion the Services may include, but are not limited to, the following tasks and/or deliverables, as and when directed by the client:

a) Assessing current-state data architectures, data models, integrations, and data flows.

b) Defining target-state and transition-state data architectures aligned with business and technology strategies in alignment with industry best practices.

c) Developing architecture roadmaps supporting migration to Microsoft Fabric and modern data platform capabilities.

d) Designing and maintaining conceptual, logical, and physical data models.

e) Designing and documenting end-to-end data flows, integration patterns, and data lifecycle processes.

f) Analyzing existing systems and identifying opportunities for rationalization, modernization, and improved data quality.

g) Collaborating with data and systems architects, enterprise architects, product managers, delivery teams, and business stakeholders to ensure alignment between business capabilities and data architecture.

h) Establishing standards, principles, and best practices for data architecture, modeling, and governance.

i) Supporting implementation teams by providing architecture guidance, reviews, and recommendations.

j) Evaluating and recommending approaches for data integration, reporting, analytics, and information management.

k) Contributing to the evolution of client's enterprise data architecture and governance practices.

Resource Qualifications

Experience

  1. 10+ years of experience in Data Architecture.
  2. Demonstrated experience defining current-state, transition-state, and target-state data architectures and modernization roadmaps.
  3. Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, medallion architecture, and analytics capabilities.
  4. Experience with cloud-based data modernization.
  5. Expertise in conceptual, logical, and physical data modeling.
  6. Experience designing data integration, transformation, and end-to-end data flows.
  7. Experience with architecture and data modeling tools, preferably Sparx Enterprise Architect.
  8. Experience with business or enterprise architecture.
  9. Experience with data governance, metadata management, and master data management.
  10. Experience with Power BI and enterprise analytics.
  11. Experience with the Open Group Architecture Framework (TOGAF) or another enterprise architecture framework.




Requirements

Skills (Depth & Breadth)

  1. Advanced written and oral communications skills with the ability to convey technical information in a clear, concise, and understandable manner for both technical and non-technical audiences.

  2. Advanced problem solving and analytical skills.

  3. Work with accuracy and attention to detail.

  4. Manage conflicting priorities and adapt to changing circumstances.

  5. Interact with all levels of staff and management in an efficient and courteous manner.

  6. Leadership skills to lead data transformation and engineering development across projects, departments, and divisions.

  7. Demonstrated ability to work independently and deliver solutions in complex enterprise environments.



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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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