As a Data Architect you will:Design define and maintain enterprise-level data architecture aligned with organizational and industry standardsEstablish and implement data governance frameworks based on DAMA-DMBOK principlesDevelop and manage conceptual logical and physical data models across multiple...
As a Data Architect you will:
Design define and maintain enterprise-level data architecture aligned with organizational and industry standards
Establish and implement data governance frameworks based on DAMA-DMBOK principles
Develop and manage conceptual logical and physical data models across multiple domains
Ensure consistency and alignment of data models with business glossaries and enterprise data standards
Define and implement approaches for data quality measurement monitoring and improvement
Establish and manage metadata data lineage and cataloging practices
Work closely with Data Engineers Data Scientists and Business SMEs to ensure architectural alignment
What You Bring to the Table:
46 years of experience in data architecture data modeling or related data roles
Strong hands-on experience with data governance and DAMA-DMBOK frameworks
Proven expertise in data modeling tools particularly Sparx Enterprise Architect (EA)
Experience in defining and implementing data quality frameworks metadata management and lineage
Hands-on exposure to data catalog tools such as Collibra Atlan or similar platforms
Solid understanding of enterprise data architecture principles and best practices
You Should Possess the Ability to:
Translate business requirements into robust and scalable data models
Drive consistency and standardization across data domains and systems
Influence and collaborate with governance bodies and technical teams
Communicate complex data concepts clearly to both technical and non-technical stakeholders
Balance strategic data architecture vision with hands-on execution
What We Bring to the Table:
Opportunity to work on enterprise-wide data architecture and governance initiatives
Exposure to modern data governance metadata and cataloging platforms
A collaborative environment involving data engineers data scientists and business stakeholders
A role with strong influence on data standards quality and strategic decision-making.
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