Data Architect

Data Architect Job Description: Client Introduction: In this role, you will have the opportunity to work closely with one of our esteemed clients. This client is a global leader known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects. Data Architect/Modeler An experienced Data Architect/Modeler with a proven track record of designing robust enterprise data models for data platform projects. We are seeking a dynamic professional with over 10 years of hands-on experience. The ideal candidate should not only possess the technical expertise to manage project tasks and deliverables but also demonstrate strong collaboration skills and accountability for critical technical and architectural decisions. Responsibilities: Collaborate and Innovate: Work closely with BI and DE teams to collaboratively gather requirements for database design and model, fostering an environment of innovation and shared insights. Design Leadership: Take charge of designing, implementing, and owning the Enterprise Canonical Data Model (CDM), ensuring its alignment with organizational goals and industry best practices. User-Centric Approach: Collaborate with non-technical business users to deeply understand and gather requirements for diverse business use cases, promoting a user-centric data modeling approach. Holistic Understanding: Develop a profound understanding of the data needs of the company, ensuring data solutions are aligned with overarching business objectives. Team Collaboration: Engage proactively with the development team, contributing to the design and construction of the database model, and actively participate in implementing database objects. Data Migration Expertise: Navigate the company's data migration needs by actively working with the development team to formulate and implement effective migration strategies. Metadata Mastery: Collaborate with data engineers to determine metadata querying requirements, leveraging your expertise in shaping efficient data architectures. Guidance and Best Practices: Provide valuable advice to data engineers on database performance tuning and best practices, contributing to the overall improvement of data management processes. Data Quality Management: Play a crucial role in determining and managing data cleansing requirements and Master Data Management (MDM), ensuring the integrity and quality of organizational data. Skills and Qualifications: Technical Acumen: Proficient in relational and NoSQL databases, with a deep understanding of data architecture. Educational Background: Bachelor's degree in computer science, data science, information technology, or data modeling. Modeling Expertise: Knowledgeable in ER modeling, big data, enterprise data, and proficient in creating physical, logical, and conceptual data models. Tool Proficiency: Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin Data Modeler. Communication Skills: Excellent presentation, communication, and organizational skills. Attention to Detail: Strong attention to detail to ensure accuracy and precision in data models. Adaptability: Ability to thrive in a fast-paced environment, balancing independent work with effective collaboration within a team. Required Skills: SAP Performance Tuning, Data Quality, Modeling Objects, Database Design, Data Modeling, NoSQL, Data Migration, Quality Management, Big Data, Data Management, Visio, Accountability, Data Science, Deliverables, Architecture, Databases, Information Technology, Construction, Computer Science, Software, Leadership, Design, Communication, Business Science, Management. #J-18808-Ljbffr