<p>Key Responsibilities</p><p><br/></p><p>- Design and develop logical, physical, and conceptual data models to represent key business entities and relationships.
</p><p><br/></p><p>- Utilize tools such as Erwin or other relevant data modelling software to create accurate data models on the Azure platform.
</p><p><br/></p><p>- Perform data profiling and analysis to refine, validate, and maintain data models.
</p><p><br/></p><p>- Communicate physical database designs to DBAs and explain their impacts on overall data models.
</p><p><br/></p><p>- Collaborate with business and development teams to translate requirements into Big Data solutions and detailed technical specifications.
</p><p><br/></p><p>- Present and communicate modelling results, insights, and recommendations to internal stakeholders.
</p><p><br/></p><p>- Establish and enforce governance processes to ensure architecture compliance during implementation.
</p><p><br/></p><p>- Engage proactively with stakeholders to address business problems through data-driven insights and strategic recommendations.
</p><p><br/></p><p>- Analyze system integration challenges and propose scalable, data-centric solutions.
</p><p><br/></p><p>- Ensure compliance with data governance, security policies, and industry best practices.
</p><p><br/></p><p>- Collaborate internationally with cross-functional stakeholders and engage with clients to clarify requirements.
</p><p><br/></p><p>- Coordinate and plan Cloud Infrastructure activities and manage system outages effectively.
</p><p><br/></p><p>- Optimize data model performance through caching, parallel execution, and bulk loading techniques.
</p><p><br/></p><p>- Lead and mentor junior consultants, providing guidance to ensure high-quality delivery.
</p><p><br/></p><p>- Build, test, and maintain robust database pipeline architectures aligned with organizational goals.
</p><p><br/></p><p>Required Skills and Experience:</p><p><br/></p><p>- 8- 10 years of experience in data modelling for data warehousing and Big Data solutions.
</p><p><br/></p><p>- Proficiency in Erwin or similar data modelling tools.
</p><p><br/></p><p>- Strong experience with the Azure cloud platform and its related data services.
</p><p><br/></p><p>- Excellent skills in data profiling, data analysis, and performance tuning.
</p><p><br/></p><p>- Outstanding communication skills with the ability to present complex data concepts clearly and </p><p>effectively.
</p><p><br/></p><p>- Proven leadership and mentoring capabilities.
</p><p><br/></p><p>- Experience enforcing data governance and security policies.
</p><p><br/></p><p>- Domain expertise in at least one of the following: Manufacturing, Sales, Supply Chain, or Finance.
</p><p><br/></p><p>Preferred Qualifications</p><p><br/></p><p>- Bachelors or Masters degree in Information Systems, Data Science, or a related field.
</p><p><br/></p><p>- Experience working in international and cross-functional teams.
</p> (ref:iimjobs.com)