Data Modeler
Core
Shape data structures and design choices to support data and analytics engineering within Cloud Engineering and Data & Analytics practices, translating business needs into scalable models.
Role type
Manager-level Data Modeler (Platform Engineering & Architecture)
Builds
Conceptual, logical, and physical data models; dimensional, warehouse, and lakehouse structures
Domain
Cloud data engineering and analytics
Deliverable
production ML models
Required skills
Data modeling (ER/Studio, Erwin, Data Vault, Toad), SQL, SQL procedures, dimensional modeling, data warehouse design, cloud technologies (AWS, Azure, GCP), data pipeline tools (Snowflake, Databricks, Azure Data Factory), data governance, team leadership, mentoring
Preferred skills
Enterprise data platform experience, data integration/transformation workstreams, complex data architecture decision leadership
Technologies
Snowflake, Databricks, AWS, Azure, GCP, Azure Data Factory, Spark, EMR, MPP databases, S3
Responsibilities
Lead data modeling workstreams and translate business needs into scalable models; Design dimensional, warehouse, and lakehouse structures; Review source system structures and transformation logic; Apply cloud tools to shape and validate data assets; Collaborate with architects and stakeholders on data strategy; Identify and remediate data quality and performance issues; Mentor junior team members on modeling standards and technical delivery
Seniority
Manager, hands-on IC with team leadership
