Data Modeler/ Enterprise Data Architect

3 weeks ago

India RibbitZ LLC Full time
Job Summary:

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.
Required Qualifications & Skills:
  • 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.
Preferred Traits:
  • 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.

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