Data Modeler

Atlantis IT Consulting Group LLC
Scottsdale, United States of America
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Scottsdale, United States of America

Tech stack

Data Architecture
Data Governance
ETL
Data Transformation
Data Structures
Data Warehousing
SQL Databases
Snowflake
Data Build Tool (dbt)
Data Pipelines

Job description

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.

Requirements

  • 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.

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