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Senior Data Modeler
Senior Data ModelerNFI • Camden, NJ, US
Senior Data Modeler

Senior Data Modeler

NFI • Camden, NJ, US
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Overview

Are you a dynamic and visionary Senior Data Modeler with a desire to make a difference and be a key player in shaping our future of Cloud Data Analytics?

We are seeking you to join our growing team, where you will unleash your innovation, strategic thinking, and technical prowess to revolutionize how we store, manage, and analyze data in the cloud. If you thrive in a fast-paced, ever-evolving environment and have an insatiable thirst for cutting-edge technologies, then this role is for you!

At NFI, we offer innovative, integrated, and customized solutions that span the entire supply chain. Whatever our customer's challenge is, we have the knowledge, technology, scale, and commitment to help them solve it. It's simply what we do.

This is an opportunity to join NFI on its journey to become a data-driven organization, continue to develop its data analytics discipline and integrate best practices into the data environment. The Senior Data Modeler will play a crucial role in designing, implementing, and optimizing our data models and architecture to support data-driven decision-making across the organization. This individual will have a strong background in data modeling, a deep understanding of data warehousing principles, and hands-on experience with Microsoft Azure data services.

Responsibilities

  • Design and develop robust, scalable, and efficient data models for various data processing and analytics needs.
  • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into effective data models.
  • Optimize and tune data models to ensure high performance and scalability.
  • Implement and manage data warehousing solutions on Microsoft Azure, leveraging services such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, and more.
  • Conduct business analysis to understand and document business processes, workflows, and information needs.
  • Translate business requirements into data requirements and technical specifications.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Develop and maintain comprehensive documentation for data models, schemas, and data flow diagrams.
  • Collaborate with business analysts and other stakeholders to identify opportunities for data-driven improvements and innovation.
  • Stay up-to-date with the latest industry trends and best practices in data modeling and Azure data services.
  • Mentor and provide guidance to junior data modelers and data engineers.

Qualifications

  • Experience in designing and developing robust, scalable, and efficient data models for various data processing and analytics needs.
  • Ability to collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into effective data models.
  • Skill in optimizing and tuning data models for high performance and scalability.
  • Experience implementing and managing data warehousing solutions on Microsoft Azure, including Azure SQL Database, Azure Data Lake, Azure Synapse Analytics.
  • Proficiency in conducting business analysis to understand and document business processes and information needs.
  • Ability to translate business requirements into technical specifications.
  • Commitment to ensuring data quality and integrity through rigorous testing and validation.
  • Capability to develop and maintain documentation for data models, schemas, and data flow diagrams.
  • Willingness to stay current with industry trends and best practices in data modeling and Azure data services.
  • Experience mentoring junior data modelers and data engineers is a plus.
  • The base salary range for this position is $104,530.40 - $139,381.84. This position is also eligible for an annual discretionary bonus, targeted at 3%. NFI considers qualifications, experience, education, and geographic location when determining pay.

    Employees are eligible for a comprehensive benefits package, including Medical, Dental, Vision, Prescription Coverage, 401k, Wellness Program, Life Insurance, Paid Time Off, and Parental Leave.

    Additional Information

    Equal Opportunity Employer / Protected Veterans / Individuals With Disabilities

    The contractor will not discriminate based on inquiries about pay or discussions thereof, except as legally permitted.

    LA County Applicants : The Company will consider qualified applicants, including those with criminal histories, per applicable laws.

    Job Details

  • Seniority level : Mid-Senior level
  • Employment type : Full-time
  • Job function : Information Technology
  • Industries : Transportation, Logistics, Supply Chain and Storage
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