Job Description

Team Leadership & Management:

• Lead, mentor, and develop a team of data modelers, ensuring high performance and continuous skill development.
• Manage workloads, priorities, and deliverables for the team, ensuring alignment with business goals.
• Establish best practices, frameworks, and processes for data modeling across the organization.

Data Modeling & Design:

• Oversee the development of conceptual, logical, and physical data models to support business and technical requirements.
• Ensure data entities, attributes, relationships, and constraints are well-defined and consistently maintained.
• Standardize modeling approaches for relational (OLTP), dimensional (OLAP), and NoSQL databases.

Collaboration & Stakeholder Engagement:

• Work closely with Data Architects, Data Engineers, and Business Analysts to ensure data models meet business needs.
• Engage with business leaders and product owners to translate requirements into scalable data structures.
• Collaborate with governance teams to enforce data standards, metadata management, and compliance.

Governance & Quality Assurance:

• Ensure adherence to enterprise data governance policies, including naming conventions, data definitions, and documentation standards.
• Partner with Data Stewards to maintain data consistency and improve data quality.
• Maintain data dictionaries, lineage tracking, and metadata repositories.

Optimization & Performance:

• Guide the team in optimizing queries, indexing strategies, and data structures for performance and scalability.
• Support data warehousing, reporting, and advanced analytics use cases, including AI/ML.
• Drive the adoption of modern modeling techniques such as Data Vault, star/snowflake schema, and normalization/denormalization strategies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• 7+ years of experience in data modeling, with at least 3 years in a leadership role.
• Expertise in relational (OLTP), dimensional (OLAP), and NoSQL data modeling.
• Strong SQL and data analysis skills, with experience in query performance tuning.
• Deep understanding of data governance, metadata management, and enterprise data management principles.
• Excellent communication, stakeholder management, and team leadership skills.
• Ability to translate business needs into scalable and efficient data models.
• Experience working in a structured environment with Agile and DevOps methodologies.
• Experience in various Data Modelling techniques and strategies to serve various scenarios and use cases.

Preferred Skills:

• Experience with Snowflake and cloud-based data warehousing solutions.
• Knowledge of finance or banking data models and regulatory requirements.
• Familiarity with data lineage, business glossaries, and data dictionaries.
• Experience in managing data modeling tools and repository solutions.
• Strong ability to work across business and technical teams to drive data initiatives.