- Spearhead the development of conceptual, logical, and physical data models, while implementing data marts/data warehouse/data lake/data lakehouse on Spark-based platforms
- Analyse existing models to identify variances/gaps and devise strategies to achieve alignment.
- Establish and enforce best practices and standards for data models.
- Generate Data Flow diagrams and relevant artifacts to depict data integrations within targeted systems.
- Collaborate closely with Data Owners to understand business data requirements and clarify terms and business rules.
- Facilitate walkthrough sessions with Data Owners and stakeholders to review and validate data models for accuracy.
- Demonstrate strong communication skills and effective engagement with delivery colleagues to ensure successful project outcomes.
- Comply with Data Architecture standards and guardrails.
- Proactively manage issues, risks, actions, and dependencies, escalating when necessary.
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