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About the Role
Lead the design, structure, and strategy of our enterprise data environment. Develop scalable data architectures, design data models, and ensure data accessibility and reliability to support business growth. Partner with leaders to establish data standards, evaluate technologies, and create a roadmap for the data ecosystem.
Responsibilities
- Design, develop, and maintain enterprise data architecture frameworks, standards, and best practices.
- Create conceptual, logical, and physical data models to support business applications and analytics.
- Develop strategies for data warehousing, data acquisition, data integration, archiving, and recovery.
- Evaluate and recommend new data sources, platforms, and technologies to improve scalability and performance.
- Define data structures, attributes, naming conventions, and governance standards across the organization.
- Analyze data and statistical information to identify trends, patterns, relationships, and opportunities for improvement.
- Research and evaluate data sources, assessing reliability, usability, and integration capabilities.
- Collaborate with business unit leaders to understand current and future data needs.
- Design and develop code solutions to improve applications, reporting, and data processes.
- Create detailed reports, dashboards, and presentations to communicate findings and recommendations.
- Establish data architecture foundations that support application development and enterprise systems.
- Lead data modeling initiatives and guide teams on best practices for organizing and interpreting data.
- Research emerging technologies and develop migration strategies for legacy platforms and data structures.
- Mentor team members and provide leadership on data architecture, design, and governance initiatives.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Management Information Systems (MIS), or a related field required.
- Master's degree preferred.
- 10+ years of experience in information architecture, data architecture, data sourcing, distribution analysis, data modeling, and system design.
- 10+ years of experience with conceptual and logical data modeling, including relational and dimensional modeling techniques.
- 5+ years of hands-on data modeling experience.
- Strong proficiency with SQL and database technologies.
- Deep understanding of enterprise data architecture, reporting architecture, and data management principles.
- Experience designing scalable, high-performing data solutions.
- Ability to translate complex technical concepts into language that business stakeholders can understand.
- Proven ability to work effectively across cross-functional and matrixed organizations.
- Demonstrated success influencing stakeholders and driving organizational change.
- Valid driver's license required.
Skills
- Strategic thinker with strong analytical and problem-solving abilities.
- Excellent communication and presentation skills.
- Strong leadership, collaboration, and relationship-building capabilities.
- Skilled in stakeholder management, negotiation, and influencing without formal authority.
- Passion for continuous improvement and emerging technologies.
- SQL
- Database technologies
- Enterprise data architecture
- Reporting architecture
- Data management principles
- Conceptual data modeling
- Logical data modeling
- Relational modeling
- Dimensional modeling
Location
- Office environment
Work Type
- Full-time
Experience Level
- 10+ years
- 5+ years
Education Level
- Bachelor's degree
- Master's degree
About the Company
- Hoar does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of Hoar without a prior written search agreement will be considered unsolicited and the property of Hoar.
Equal Opportunity
- EOE - Vets/Disabilities