Title: Data Modeler

Location:  Scottsdale, AZ(Remote)

Job Type: Contract – 12 Months

About the Role:
Looking for a hands-on Data Modeler with strong technical expertise and waste management domain experience to support a data warehouse modernization initiative. The role focuses on migrating existing Informatica-based models into Snowflake using DBT (Data Build Tool), while designing a unified canonical data model that integrates multiple source systems. You’ll architect and maintain a Medallion data structure (Bronze, Silver, Gold layers) that delivers reliable, analytics-ready data for business use.

Key Responsibilities:

• Rebuild and migrate data models from Informatica to a modern Snowflake/DBT platform.
• Design and implement canonical data models that unify multiple operational and transactional data sources into a single data warehouse.
• Develop and maintain a Medallion Architecture (Bronze, Silver, Gold layers) to ensure scalable, high-quality data pipelines.
• Collaborate with engineering and business stakeholders to translate data requirements into optimized, reusable models.
• Build and tune ETL/ELT processes for performance and reliability.
• Ensure strong data governance, documentation, and lineage tracking across models.

Must Haves:

• Minimum 6+ years of professional experience in data modeling and data architecture.
• Strong hands-on experience with Informatica (PowerCenter/IICS), Snowflake, and DBT.
• Proven experience building canonical data models that combine data from multiple source systems.
• Practical knowledge of Medallion architecture concepts (Bronze → Silver → Gold).
• Excellent proficiency in SQL for data transformation, optimization, and troubleshooting.
• Domain expertise in waste management or environmental services, including operational, billing, fleet, recycling, disposal, and compliance data.
• Strong communication and documentation skills, with the ability to work cross-functionally with engineering and business teams.

Nice to Have:

• Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform).
• Experience with data governance and data quality frameworks.
• Knowledge of Git, CI/CD pipelines, or Airflow for orchestration and automation.
• Understanding of performance tuning and Snowflake optimization best practices.
• Exposure to BI tools (Power BI) and curated data delivery from Gold layers.