Data Modeler- Remote

We're Hiring: Data Modeler (Google Cloud Platform) – Remote, USA

Location: United States (Remote Available) Experience: 6 to 8 years Job Type: Full-time | Remote Industry: IT / Cloud Data Services / Analytics

Are you passionate about data architecture and enjoy building scalable data models? Join our dynamic team as a Data Modeler, where you'll bring clarity to complex datasets and help shape intelligent decision-making systems using Google Cloud Platform.

About the Role

We are looking for a skilled Data Modeler with strong experience in Google Cloud technologies, data warehousing, and business intelligence tools. You'll work closely with data engineers, analysts, and business stakeholders to design, develop, and optimize data models that power data-driven strategies.

Roles & Responsibilities

• Design and develop conceptual, logical, and physical data models aligned with business requirements.
• Build and manage scalable data pipelines using Google BigQuery, Airflow/DAG, and Terraform.
• Implement best practices for data warehousing and data governance across multiple sources like SAP, Azure, Oracle, and APIs.
• Utilize Google Cortex Framework and Dataforms to accelerate data modeling on GCP.
• Develop intuitive and insightful dashboards with Power BI.
• Write efficient SQL scripts to handle complex data transformations and queries.
• Collaborate with cross-functional teams to understand data needs and propose optimal data architecture solutions.
• Ensure data accuracy, consistency, and security across platforms.

Required Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or Information Technology.
• 6 to 8 years of IT experience with at least 3 to 5 years in Google Cloud Platform (GCP).
• Proven experience with: Data Modeling and Data Warehousing, Google BigQuery, Google Cortex, Dataforms, Airflow, DAG, Terraform, SQL scripting and Power BI, Integrating data from SAP, Azure, Oracle, and REST APIs.