Enterprise Data Architect

Responsible to design and implement scalable, secure, and optimized data architectures that enable seamless data flow across integrated enterprise-centric ecosystems. The Data Architect provides strategic data technical vision while leading immediate data architecture initiatives. 

Essential Duties/Responsibilities:

• Designing and developing data models that support business processes, analytics, and reporting requirements, ensuring they are optimized for performance and scalability.  
• Establishing and enforcing data governance policies to ensure data quality, consistency, and compliance with regulations.  
• Designing and implementing solutions to integrate data from various sources, ensuring seamless data flow across the organization.  
• Defining and implementing a robust and scalable data strategy, including data warehousing, data lakes, and other data platforms.  
• Collaborates with business stakeholders, data platform teams, vendors and other IT teams to understand data needs and ensure data solutions meet business objectives.  
• Implementing and maintaining data security measures, including access controls and encryption, to protect sensitive information.  
• Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. 
• Develop and maintain an inventory of enterprise information maps, including authoritative systems, owners, and stewards. 
• Work with data owners and stewards to develop and maintain a business glossary, metadata, and a library of data assets in the enterprise data governance software. 
• Design and implement processes for further expanding data governance processes and the data governance software environment. 

Other Duties/Responsibilities:

• Staying up-to-date on emerging technologies and evaluating their potential to enhance the organization's data capabilities.  
• Providing guidance and mentorship to other team members on data architecture best practices.  
• Develop and report on enterprise data governance KPIs and Metrics
• Assist with performing enterprise data governance maturity assessments
• Facilitate the development of data quality standards and processes
• Other duties as assigned by VP Innovation or CIO. 

Job Knowledge:

• Strong understanding of data architecture principles, including relational and dimensional modeling, data warehousing, and data governance
• Knowledge of data governance and compliance frameworks (DAMA DMBOK preferred)
• Strong Experience with API-led connectivity and integration frameworks using MuleSoft, Workato, Astera or related data unification systems
• Expertise in relational and dimensional modeling, data warehousing, and cloud-based data solutions
• Proficiency with data modeling tools and techniques, such as Lucidchart, ERwin, ER/Studio or similar platforms
• Excellent communication and collaboration skills, with the ability to effectively engage both technical and nontechnical stakeholders
• Strong problem-solving and analytical skills, enabling identification and resolution of complex data related issues
• Experience managing data related projects, including planning, execution, and delivery
• Knowledge of data security best practices, including encryption, access control, and data loss prevention

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field and 5 or more years of experience in data architecture, enterprise data management, or large-scale data engineering, OR equivalent combination of education and work experience. 

Qualified candidates will have at least 3 years’ experience with cloud data platforms, ETL processing and API management (required). 

It is preferred that the candidate has 3 years’ experience with Data Cloud implementation and advanced MuleSoft integration patterns. Finally, a strong familiarity with agile software development methodologies and DevOps practices is also preferred.