We are seeking an Enterprise Data Architect to design and implement scalable, secure, and optimized data architectures that enable seamless data flow across integrated enterprise-centric ecosystems. The ideal candidate will have a strong understanding of data architecture principles, including relational and dimensional modeling, data warehousing, and data governance, and experience with API-led connectivity and integration frameworks using MuleSoft, Workato, Astera or related data unification systems.
Requirements
- 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.
- Collaborating 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.
- 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
Benefits
- Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
