Data Modeler

KPI Partners is a 5 times Gartner recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients.

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.

• 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.

• Minimum 6+ years of professional experience in data modeling and data architecture.
• Strong hands‑on experience with Informatica (Power Center/IICS), Snowflake, and DBT.
• Proven experience building canonical data models that combine data from multiple source systems.
• 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.

• Familiarity with cloud platforms (AWS, Azure, GCP).
• 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.

At KPI, you will be part of a fast‑growing consulting firm at the intersection of data, analytics, AI/ML, and cloud platforms. You will work with leading technology partners, drive impact for global clients, and shape strategic growth in a collaborative, high‑performance environment. KPI is recognized for employee focus, career development, and innovation.