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Data Modeler/ Enterprise Data Architect
4 weeks ago
We are seeking an experienced and visionary Data Modeler/Enterprise Data Architect to lead the design, governance, and implementation of enterprise-wide data solutions aligned with the client's Data & Analytics Strategy. This role will oversee the definition, management, and usage of business data assets to enhance strategic decision-making, maximize value from data, and enable secure and scalable data environments.
Key Responsibilities:- Drive and influence the client's enterprise Data & Analytics Strategy in alignment with business goals.
- Design and optimize data architecture solutions, including data warehouse design using dimensional modeling, data vault, star, and snowflake schemas.
- Rapidly adapt and revise designs as needed, providing clear rationale and justifications.
- Create and maintain data models using tools such as Microsoft Visio or Erwin.
- Prepare comprehensive mapping documents and collaborate with ETL and QA/testing teams to support successful implementation.
- Collaborate with business stakeholders, solution architects, and project teams to gather and validate data requirements and secure approvals.
- Manage and lead multiple data initiatives/projects from inception to completion.
- Prioritize and surface critical data needs to maximize analytics impact.
- Conduct business data modeling to align technical solutions with organizational needs.
- Drive enterprise-level data management, governance, and security of analytic assets.
- Continuously enhance Datahub performance and solution scalability.
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline.
- Minimum 8 years of IT experience, including 3+ years in data architecture or information system design.
- Proven expertise in designing and implementing data solutions, including transactional and dimensional modeling (star schema, data vault).
- Experience working in cross-cultural and multi-disciplinary teams, with strong leadership and people management skills.
- Hands-on experience with data & analytics governance programs is highly preferred.
- Ability to assess project and portfolio needs and allocate resources effectively across functions.
- Strong strategic, analytical, and problem-solving capabilities.
- High emotional intelligence, resilience, and a collaborative, team-oriented mindset.
- Ability to communicate complex data solutions effectively and influence stakeholders at all organizational levels.
- Passion for data and a drive to deliver innovative, value-driven solutions.
- Commitment to business ethics and building meaningful partnerships.
- A strong interest in contributing to the mission and growth of a leading global investment company.