End-to-End Data Modeling: Lead the full modeling lifecycle (Conceptual, Logical, and Physical), ensuring healthcare business rules are accurately translated into the database.
Hybrid Architecture: Dimensional modeling (Star Schema) for consumption and analytics layers.
Standardization and Governance: Define and promote naming conventions, entity standards, keys, and metadata to ensure consistency across different squads.
Layer Design (Medallion Architecture): Develop the logical design of datasets and organize data layers (Bronze, Silver, Gold).
Documentation and Lineage: Ensure end-to-end data lineage and maintain technical documentation to enable self-service BI for other teams.
Model QA: Serve as a technical reviewer of models created by engineers and analysts, ensuring performance and data integrity.

Strong experience in relational and non-relational data modeling.
Advanced proficiency with modeling tools (e.g., ERwin, PowerDesigner, SQLDBM, or dbdiagram.io).
Deep knowledge in developing architectures using Data Vault for our integration (Raw/Storage) layer, including Vault 2.0, and familiarity with Kimball and Inmon methodologies.
Experience with cloud data warehouses (e.g., Snowflake, BigQuery, or Databricks).
Fluent SQL skills for validation and auditing of physical models.
Preferred: Knowledge of healthcare data standards (such as HL7 or FHIR).

Data Architect – Data Modeling Specialist

Key skills