Enterprise Data Architect
Hybrid · Rapid City, South Dakota, United States
Job Summary
Lead the design and implementation of scalable, secure data architectures to enable seamless data flow across enterprise ecosystems. Develop and enforce data governance policies, integrate data from diverse sources, and implement robust data strategies including data warehousing and data lakes. Collaborate with stakeholders and IT teams to translate business needs into technical specifications, ensure data security, and maintain an enterprise catalog of data assets. Provide mentorship on data architecture best practices, monitor governance KPIs, and drive continuous improvement in data quality and compliance.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
- 5+ years of experience in data architecture, enterprise data management, or large-scale data engineering
- 3+ years’ experience with cloud data platforms, ETL processing and API management
- 3+ years’ experience with Data Cloud implementation and advanced MuleSoft integration patterns
- Familiarity with agile software development methodologies and DevOps practices
Desired Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
- 5+ years of experience in data architecture, enterprise data management, or large-scale data engineering
- 3+ years’ experience with cloud data platforms, ETL processing and API management
- 3+ years’ experience with Data Cloud implementation and advanced MuleSoft integration patterns
- Familiarity with agile software development methodologies and DevOps practices
- Salesforce Certified Data Architect and MuleSoft Certified Integration Architect (preferred)
- Certification in data management or related field (e.g., Certified Data Management Professional)
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