Data Architect

Job Description

We are seeking a detail-oriented Data Architect to design and implement robust data architecture and frameworks that support enterprise-level platforms. These platforms serve as central repositories for product asset data, enabling data-driven decision-making and supporting both field and digital services. Required Skills: Expertise in data modeling and design principles Proficiency in database management systems (e.g., SQL, NoSQL) Strong analytical and problem-solving skills Experience with data warehousing and ETL processes Experience with BI tools such as Power BI, Tableau, Quicksight Ability to create and manage complex data models Excellent communication and collaboration skills Experience with data governance and data security practices Good knowledge of Master Data Management (MDM) Familiarity with Salesforce environments Experience with cloud platforms such as AWS Basic knowledge of integration platforms (e.g., SnapLogic, Informatica CAI) Qualifications: 7+ years of experience in data architecture, database design, or related roles 5+ years of experience designing and implementing enterprise data solutions Proven experience with data modeling and architecture design methodologies Demonstrated experience with both relational and non-relational database systems Experience leading data architecture for major transformation initiatives or system implementations Track record of translating business requirements into effective data solutions Bachelors degree in Computer Science, Information Systems, or a related field. Create blueprints for data management systems that ensure scalability, performance, and alignment with business needs Define and enforce data standards, principles, and models across the organization Ensure data quality, security, and governance are maintained at all levels Collaborate with business and technical stakeholders to align data strategies with enterprise goals Maintain consistency in data architecture practices and documentation Improve system performance through testing, troubleshooting, and integration of new technologies Lead data migration and transformation initiatives during major deployments