Data Modeler/Architect

As an experienced Data Architect, you will be responsible for designing and implementing enterprise-scale data architectures using Data Vault 2.0 methodologies. Your key responsibilities will include: - Defining and governing data modeling standards across the organization. - Architecting and optimizing Data Vault components such as Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables. - Driving cloud-based data platform architecture and modernization initiatives. - Guiding engineering teams on Data Vault best practices and implementation strategies. - Leveraging AI-assisted development tools like GenAI, LLMs, and Copilot to accelerate data engineering and modeling workflows. - Collaborating with data engineers, analytics teams, and business stakeholders to deliver scalable data solutions. - Designing data architectures that support analytics, reporting, AI, and machine learning initiatives. - Establishing governance, scalability, performance, and data quality standards. - Evaluating emerging technologies and continuously improving enterprise data architecture capabilities. Qualifications required for this role include: - 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 like GenAI, LLMs, and GitHub Copilot. - Strong understanding of scalable and modern data architecture patterns. Preferred skills for this position are: - 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 addition to technical skills, behavioral competencies required for this role include: - Ability to simplify and manage complex data ecosystems. - Strong stakeholder management and communication skills. - Continuous learning mindset with a passion for emerging technologies. - Ability to drive clarity, collaboration, and innovation across teams. - Strong decision-making and problem-solving capabilities. Education required for this position is a Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field. As an experienced Data Architect, you will be responsible for designing and implementing enterprise-scale data architectures using Data Vault 2.0 methodologies. Your key responsibilities will include: - Defining and governing data modeling standards across the organization. - Architecting and optimizing Data Vault components such as Hubs, Links, Satellites, Hash Keys, PIT Tables, and Bridge Tables. - Driving cloud-based data platform architecture and modernization initiatives. - Guiding engineering teams on Data Vault best practices and implementation strategies. - Leveraging AI-assisted development tools like GenAI, LLMs, and Copilot to accelerate data engineering and modeling workflows. - Collaborating with data engineers, analytics teams, and business stakeholders to deliver scalable data solutions. - Designing data architectures that support analytics, reporting, AI, and machine learning initiatives. - Establishing governance, scalability, performance, and data quality standards. - Evaluating emerging technologies and continuously improving enterprise data architecture capabilities. Qualifications required for this role include: - 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 like GenAI, LLMs, and GitHub Copilot. - Strong understanding of scalable and modern data architecture patterns. Preferred skills for this position are: - 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 addition to technical skills, behavioral competencies required for this role include: - Ability to simplify and manage complex data ecosystems. - Strong stakeholder management and communication skills. - Continuous learning mindset with a passion for emerging technologies. - Ability to drive clarity, collaboration, and innovation across teams. - Strong decision-making and problem-solving capabilities. Education required for this position is a Bachelor's or Master's degree in Computer Science, Information Systems, Data Eng