Lead Data Modeler

Job Description

iLink is a Global Software Solution Provider and Systems Integrator, delivers next-generation technology solutions to help clients solve complex business challenges, improve organizational effectiveness, increase business productivity, realize sustainable enterprise value and transform your business inside-out. iLink integrates software systems and develops custom applications, components, and frameworks on the latest platforms for IT departments, commercial accounts, application services providers (ASP) and independent software vendors (ISV). iLink solutions are used in a broad range of industries and functions, including healthcare, telecom, government, oil and gas, education, and life sciences. iLink’s expertise includes Cloud Computing & Application Modernization, Data Management & Analytics, Enterprise Mobility, Portal, collaboration & Social Employee Engagement, Embedded Systems and User Experience design etc.

What makes iLink Systems' offerings unique is the fact that we use pre-created frameworks, designed to accelerate software development and implementation of business processes for our clients. iLink has over 60 frameworks (solution accelerators), both industry-specific and horizontal, that can be easily customized and enhanced to meet your current business challenges.

Requirements

The Lead Data Modeler will be responsible for designing, developing, and maintaining enterprise data models that support business intelligence, analytics, and data warehouse initiatives. This role requires deep expertise in conceptual, logical, and physical data modeling, along with the ability to lead a team of data modelers and collaborate with business and IT stakeholders.

Key Responsibilities :

Lead the design and implementation of enterprise-wide data models for operational systems, data warehouses, and analytical solutions.

Develop and maintain conceptual, logical, and physical data models.

Collaborate with business stakeholders to understand data requirements and translate them into efficient data models.

Ensure data models are aligned with data governance, security, and compliance standards.

Partner with ETL developers, BI teams, and data architects to implement models effectively in the data warehouse and analytics environments.

Review and optimize existing data models for performance, scalability, and maintainability.

Establish and enforce data modeling standards, best practices, and documentation guidelines.

Mentor and guide junior data modelers and team members.

Evaluate emerging data modeling tools, techniques, and technologies to improve modeling efficiency.

Required Skills & Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.

8+ years of experience in data modeling, data architecture, or data warehousing.

Strong knowledge of relational, dimensional, and NoSQL data modeling.

Experience with data modeling tools like ERwin, PowerDesigner, SQL Developer Data Modeler, or equivalent.

Strong SQL skills and understanding of database concepts.

Knowledge of ETL processes, data warehousing concepts, and BI reporting.

Experience with cloud data platforms (AWS, Azure, Google Cloud) is a plus.

Excellent communication, collaboration, and leadership skills.

Preferred Skills :

Experience with big data platforms like Hadoop, Spark, or Databricks.

Familiarity with data governance and master data management (MDM) concepts.

Certification in data modeling or data architecture is a plus.

Benefits

• Competitive salaries​
• Medical, Dental, Vision Insurance
• Disability, Life & AD&D Insurance
• 401K With Generous Company Match
• Paid Vacation and Personal Leave
• Pre-Paid Commute Options
• Employee Referral Bonuses
• Performance Based Bonuses
• Flexible Work Options & Fun Culture
• Continuing Education Reimbursements
• In-House Technology Training