Lead Data Modeler
3 days ago
3 days ago Be among the first 25 applicants
Direct message the job poster from UnionBank of the Philippines
Talent Attraction and Sourcing Officer | Sourcing for the best talents | Client Engagement and Solutions | Operations | Consumer Bank #OwnTheFutureJob Description
- 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.
- Mid-Senior level
- Full-time
- Information Technology and Finance
- Banking
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