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Lead Data Modeller

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Richardson (TX)

On-site

USD 90,000 - 130,000

Full time

2 days ago
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Job summary

A leading company is seeking a Lead Data Modeller to join their team in Richardson, TX. The successful candidate will have significant experience in data modeling, particularly with data vault models, and will work closely with business analysts and technical experts. This role involves planning and leading design sessions, ensuring effective collaboration, and utilizing various data modeling tools and cloud platforms.

Qualifications

  • At least 4 years of experience with Information Technology.
  • At least 2 years of experience in data modelling and in data vault models.
  • Experience in test driven development and DevOps/CICD practices.

Responsibilities

  • Plan and lead Joint Application Design sessions.
  • Collaborate with technical subject matter experts and business analysts.
  • Hands-on experience with relational databases and cloud platforms.

Skills

Data modeling
ETL tools
Relational databases
Cloud platforms
Collaboration

Tools

Erwin
ER/Studio
Power Designer
Snowflake

Job description

Lead Data Modeller
Indianapolis, IN Peoria, IL Richardson, TX, Raleigh, NC

Required Qualifications

  • At least 4 years of experience with Information Technology.
  • At least 2 years of experience in data modelling and in data vault models.
  • Proficiency in data modeling tools like Erwin, ER/Studio, Power Designer etc
  • Hands-on experience with relational databases and cloud platforms
  • Hands on experience on Snowflake and ETL tools.
  • Strong ability to plan and lead Joint Application Design sessions and collaborate with both technical subject matter experts as well as business analysts and stakeholders
  • Experience in test driven development and DevOps/CICD software engineering practices

Preferred Qualifications

  • Proficiency in relational SQL and NoSQL database technologies.
  • Experience with data modeling tools (e.g., Erwin, ER/Studio).
  • Understanding of database management and design best practices.
  • Knowledge of data warehousing concepts and technologies.
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