Data Modeler/Architect

As a Data Architect, you will play a crucial role in designing and implementing enterprise-scale data architectures using Data Vault 2.0 methodologies. Your responsibilities will include defining and governing data modeling standards across the organization and architecting and optimizing Data Vault components such as Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables. Additionally, you will drive cloud-based data platform architecture and modernization initiatives, guide engineering teams on Data Vault best practices, and leverage AI-assisted development tools to accelerate data engineering and modeling workflows. You will collaborate with data engineers, analytics teams, and business stakeholders to deliver scalable data solutions that support analytics, reporting, AI, and machine learning initiatives. Furthermore, you will establish governance, scalability, performance, and data quality standards while continuously evaluating and improving enterprise data architecture capabilities. Key Responsibilities: - Design and implement enterprise-scale data architectures using Data Vault 2.0 methodologies - Define and govern data modeling standards across the organization - Architect and optimize Data Vault components including Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables - Drive cloud-based data platform architecture and modernization initiatives - Guide engineering teams on Data Vault best practices and implementation strategies - Leverage AI-assisted development tools to accelerate data engineering and modeling workflows - Collaborate with data engineers, analytics teams, and business stakeholders to deliver scalable data solutions - Design data architectures that support analytics, reporting, AI, and machine learning initiatives - Establish governance, scalability, performance, and data quality standards - Evaluate emerging technologies and continuously improve enterprise data architecture capabilities Qualifications Required: - 10+ years of overall IT/Data experience - 5+ years of experience in Enterprise Data Architecture and Data Modeling - Deep expertise in Data Vault 2.0, Enterprise Data Modeling, and Data Architecture - Strong experience with Snowflake, Azure Synapse, and Cloud Data Platforms - Advanced SQL proficiency - Experience implementing AI-assisted development tools including GenAI, LLMs, and GitHub Copilot - Strong understanding of scalable and modern data architecture patterns Preferred Skills: - Certified Data Vault 2.0 Practitioner (CDVP2) - Experience with dbt, Automated Data Transformations, and dbt Macros - Understanding of Data Mesh, Modern Data Platforms, and Distributed Data Architectures - Experience supporting AI and Machine Learning data ecosystems In this role, you will need to have the ability to simplify and manage complex data ecosystems, strong stakeholder management and communication skills, a continuous learning mindset with a passion for emerging technologies, the ability to drive clarity, collaboration, and innovation across teams, as well as strong decision-making and problem-solving capabilities. Education: - Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field (Note: The above job description is based on the provided details and may vary slightly from the original job posting) As a Data Architect, you will play a crucial role in designing and implementing enterprise-scale data architectures using Data Vault 2.0 methodologies. Your responsibilities will include defining and governing data modeling standards across the organization and architecting and optimizing Data Vault components such as Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables. Additionally, you will drive cloud-based data platform architecture and modernization initiatives, guide engineering teams on Data Vault best practices, and leverage AI-assisted development tools to accelerate data engineering and modeling workflows. You will collaborate with data engineers, analytics teams, and business stakeholders to deliver scalable data solutions that support analytics, reporting, AI, and machine learning initiatives. Furthermore, you will establish governance, scalability, performance, and data quality standards while continuously evaluating and improving enterprise data architecture capabilities. Key Responsibilities: - Design and implement enterprise-scale data architectures using Data Vault 2.0 methodologies - Define and govern data modeling standards across the organization - Architect and optimize Data Vault components including Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables - Drive cloud-based data platform architecture and modernization initiatives - Guide engineering teams on Data Vault best practices and implementation strategies - Leverage AI-assisted development tools to accelerate data engineering and modeling workflows - Collaborate with data engineers, analy