Data Architect

Role Overview: As a Data Architect, your primary responsibility will be to define and govern Enterprise Information Architecture, ensuring alignment across business domains, platforms, and initiatives. You should possess expertise in enterprise data modeling, modern data platforms, data governance, and cloud-based architectures. Key Responsibilities: - Define and maintain enterprise-wide Information and Data Architecture. - Design end-to-end data flows from ingestion to consumption. - Develop conceptual, logical, and physical data models. - Establish data architecture standards, patterns, and best practices. - Lead enterprise data modeling and promote data reuse across initiatives. - Provide architectural guidance to project teams and stakeholders. - Support AI, Analytics, and Data Science initiatives through scalable data architecture. - Drive Data Governance, Metadata Management, Data Lineage, and Data Quality initiatives. Qualification Required: - 8+ years of Data Architecture experience. - Strong expertise in Data Modeling and Enterprise Information Architecture. - Experience with modern data platforms, Data Lakes, Lakehouse, and Medallion Architecture. - Hands-on experience with Collibra and/or Alation for Data Governance, Metadata Management, Data Catalog, Business Glossary, and Data Lineage. - Experience with cloud platforms (AWS, Azure, or GCP). - Strong stakeholder management and communication skills. Role Overview: As a Data Architect, your primary responsibility will be to define and govern Enterprise Information Architecture, ensuring alignment across business domains, platforms, and initiatives. You should possess expertise in enterprise data modeling, modern data platforms, data governance, and cloud-based architectures. Key Responsibilities: - Define and maintain enterprise-wide Information and Data Architecture. - Design end-to-end data flows from ingestion to consumption. - Develop conceptual, logical, and physical data models. - Establish data architecture standards, patterns, and best practices. - Lead enterprise data modeling and promote data reuse across initiatives. - Provide architectural guidance to project teams and stakeholders. - Support AI, Analytics, and Data Science initiatives through scalable data architecture. - Drive Data Governance, Metadata Management, Data Lineage, and Data Quality initiatives. Qualification Required: - 8+ years of Data Architecture experience. - Strong expertise in Data Modeling and Enterprise Information Architecture. - Experience with modern data platforms, Data Lakes, Lakehouse, and Medallion Architecture. - Hands-on experience with Collibra and/or Alation for Data Governance, Metadata Management, Data Catalog, Business Glossary, and Data Lineage. - Experience with cloud platforms (AWS, Azure, or GCP). - Strong stakeholder management and communication skills.