Job Title: Data Modeler

Experience Level: 5–10 Years

Work Setup: Hybrid (Onsite 2–3x/week at UT3 23/F)

Shift: Mid-shift to Night-shift (either fixed or rotating, depending on client needs)

Work Hours: 45 hours/week

Employment Type: Full-time

Target Bill Rate: CL9–CL8 range

Job Description

We are looking for an experienced Data Modeler to support data architecture and modeling initiatives across enterprise-level projects. The ideal candidate will have a solid background in data modeling, cloud technologies, and data warehousing, with the ability to work closely with stakeholders and engineering teams to ensure data integrity, usability, and quality.

Key Responsibilities

• Employ tools and techniques to analyze how data should be collected, updated, stored, and exchanged.
• Define and apply data modeling and design standards, tools, best practices, and development methodologies.
• Design, review, and maintain conceptual, logical, and physical data models.
• Perform data analysis to capture data requirements and represent them in visual data models.
• Manage the full lifecycle of data models from requirements gathering to implementation and maintenance.
• Collaborate with data engineers to translate logical models into optimized physical data models.
• Identify opportunities to leverage data for business improvement.
• Work with ETL developers to ensure business data rules are implemented accurately.
  
  

Must-Have Skills

• Proven experience in data modeling using tools like Erwin Data Modeler.
• Strong knowledge of data warehousing, SQL, NoSQL, and RDBMS.
• Hands-on experience with ETL/ELT tools such as BigQuery and Dataflow.
• Familiarity with Data Lake architecture and related technologies (object storage, unstructured data).
• Strong experience in database querying using SQL.
• Solid understanding of cloud platforms such as GCP, Azure, or AWS.
• Experience with Big Data processing using tools like Hadoop and Spark.
• Excellent communication, issue management, and stakeholder collaboration skills.
  
  

Nice-to-Have

• Background in full stack cloud resource management.
• Prior experience in stakeholder communication across time zones.
  
  

Other Details

• Location: UT3 23/F (for hybrid schedule)
• Onsite Requirement: 2–3 days per week
• Shift: Mid to night shift (due to client calls/coordination)