Solution Architect

**Required Information**

**Details**

Role

**Solution Architect**

Required Technical Skill Set

**EDW, Bigdata, KAFKA, ETL Tools, BI Tools**

Desired Experience Range

**1**0**+ Years**

Location of Requirement

**Riyadh**

**Good-to-Have**

1. Database Technology: Teradata, Oracle, SQL Server, Hadoop, Cloudera

2. ETL Technology: Ab-intio, Bigdata, CRON scripting

3. BI Technology: Power BI, Tableau, MicroStrategy

4. Time series analysis, clustering, decision trees and neural networks

5. As the solution architect rule in CAD is mixed of Data Architect & Solution Architect rules therefore, having DAMA and TOGAF certification is highly preferred.

**Responsibility & Expectations for this role**

1 Collaborate with teams, addressing project requirements and reducing delivery risks.

2 Identifying internal and external data sources within the organization. Ensuring the accuracy, security, and accessibility of the data.

3 Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor.

4 Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results.

5 Refine your specialized skills to design, develop, and implement strategic BI architecture solutions, playing a key role in seamlessly integrating these technologies into existing enterprise frameworks.

6 As an architect work closely with delivery teams and other stakeholders to provide technical leadership, drive architectural decisions, shape deals and propositions, create plans and roadmaps, and produce design artifacts by delving into client’s unique challenges.

7 Lead projects starting from requirement collection of final business KPIS and translate KPI business language into understandable technical requirements to identify involved teams & stakeholders. Your advisory & consultancy rule will be the main engine for progress & execution along the way.

8 Formulates and recommends standards for achieving maximum performance and efficiency of the CAD ecosystem.

9 Participates in the planning for retirement of systems programs, and migration of systems infrastructure.

10 Develop business cases and ROI for department to get buy-in from senior management.

11 Evangelize self-service BI and visual discovery while helping to change Excel based culture.

12 Interview stakeholders and develop BI roadmap for success given project prioritization and budget.

13 Work closely with CAD engagement managers to ensure prioritization of corporate and departmental objectives and projects.

14 Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices.

15 Refine and automate processes, track issues, and document changes.

16 Providing assistance to CAD team members with issues needing technical expertise or complex systems and programming knowledge. Provide on-the-job training for new or less experienced team members.

**Requirements**:
1 Telecom domain knowledge with minimum 3+ years’ experience.

2. 10+ years of experience delivering business intelligence solutions with OLTP and OLAP database models.

3. Strong data analytical & data architecture skills.

4. Building new data warehouse, data visualizations, dashboards, and reports.

5. knowledgeable in software development lifecycles/methodologies i.e. agile.

6. Fluent in relational database concepts and flat file processing concepts.

7. Good analytical, problem-solving skills and exceptional communication skills.

8. Experience with one or more enterprise-level data modeling tools.

10. Refine and automate processes, track issues, and document changes.

11. Define and prioritize analytic projects to meet the needs of business.

12. Define configuration specifications and business analysis requirements.

13. Maintain and support data analytics platforms and warehouses.

14. Design, troubleshoot, document, and maintain system processes.

15. Make data-driven decisions, think systematically about ROI, and resolve complexity to drive results.

16. Develop solutions to complex problems which require the regular use of ingenuity and innovation.

17. Ensures solutions are consistent with organization objectives.

18. Proficiency in writing SQL queries/ stored procedures

19. Good work Experience on Teradata, Bigdata, ETL Tools, BI Tools

20. Sound knowledge in Data Warehouse concepts

21. Good knowledge in Data Models

22. Ability to analyze the solutions and provide recommendations.

23. Good Communication & people skills

24. Good understanding of cLDM

25. Having a solid experience in Digital Transformation.

26. Capturing and updating the organization's current data architecture.

27. Analyzing and identifying gaps between the current and target architecture.

28. Troubleshooting and optimizing data systems.