Data Modeler/ Enterprise Data Architect

Job Summary:

Data Modeler/Enterprise Data Architect

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

  .