Data Architect

Posted 2 Months Ago
Be an Early Applicant
Ar-Riyāḑ, SAU
In-Office
Senior level
Software
The Role
Define and lead migration from current to target data architecture: assess systems, identify gaps, design lakehouse/DWH/semantic/MDM solutions, define ingestion patterns, governance, and guide technology selection and migration coexistence.
Summary Generated by Built In

ABOUT CoorB

We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics. With our extensive industry expertise, we help achieve operational excellence, future-proof your IT investments, and ensure a competitive edge in the ever-evolving finance industry.

OUR OPPORTUNITY

The Data Architect defines the transition from the existing data architecture to the target-state architecture. The role ensures that the future platform reduces complexity, improves governance, supports scalability, and enables cost optimization.

YOU WILL

  • Assess the existing architecture across source systems, ODS, DWH, staging, ETL, MDM, DQ, BI, metadata, and governance layers. 
  • Identify current-state issues such as duplication, technical debt, high licensing dependency, data movement inefficiencies, and governance gaps. 
  • Define the target data architecture across lakehouse, DWH, semantic layer, governance, MDM, metadata, BI, and AI-ready data services. 
  • Define coexistence architecture between current and target platforms during migration. 
  • Define ingestion patterns including batch, CDC, streaming, APIs, and file-based ingestion.
  • Review Oracle, GoldenGate, Informatica, MDM, DQ, EDC/Axon, and BI platform dependencies. 
  • Define architecture standards for data modeling, security, metadata, lineage, data quality, and data lifecycle. 
  • Guide technology selection and licensing optimization. 
  • Review and approve data models, integration designs, ETL/ELT designs, and BI semantic models. 
  • Ensure target architecture supports regulatory reporting, enterprise analytics, and future AI/LLM use cases
  • Work with the Data Architect, Technical Data Lead, Business Analysts, ETL Developers, BI Developers, Platform Admin, and business stakeholders. 
  • Support architecture transition activities by ensuring that current-state logic is understood before it is migrated, simplified, or retired. 


Requirements
  • TO BE SUCCESSFUL IN THE ROLE YOU NEED 

  • Strong experience in enterprise data architecture and data platform modernization. 
  • Deep knowledge of ODS, DWH, lakehouse, data marts, semantic layers, BI, MDM, and governance. 
  • Experience with Oracle, Informatica, GoldenGate, Power BI, MDM, DQ, EDC/Axon, or similar platforms. 
  • Experience with cloud/lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, Azure, or GCP. 
  • Strong understanding of CDC, ETL/ELT, streaming, metadata, lineage, and security. 
  • Ability to communicate architecture decisions to executives, architects, and delivery teams. .


Skills Required

  • Strong experience in enterprise data architecture and data platform modernization.
  • Deep knowledge of ODS, DWH, lakehouse, data marts, semantic layers, BI, MDM, and governance.
  • Experience with Oracle, Informatica, GoldenGate, MDM, DQ, EDC/Axon, or similar platforms.
  • Experience with cloud/lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, Azure, or GCP.
  • Strong understanding of CDC, ETL/ELT, streaming, metadata, lineage, and security.
  • Ability to communicate architecture decisions to executives, architects, and delivery teams.
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100 Employees

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