Senior Data Modeler - Enterprise Data Architecture & Retail Analytics

Posted 2026-05-06
Remote, USA Full-time Immediate Start
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Join arenaflex: Shape the Future of Retail Through Data Innovation

Are you ready to be part of a transformative journey in retail? At arenaflex, we help people save money so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can't do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of arenaflex's environment comes the biggest of big data sets. As an arenaflex Data Modeler, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data models that our Data Engineers, Scientists, and Analysts can rely on. You will partner with Data Engineers, Data Scientists, Data Stewards, other engineers, and business stakeholders to solve complex and exciting modeling and analytical challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers' lives.

About the Data Engineering Team at arenaflex

Everyone has data, but the sheer volume of data at arenaflex can be limitless. In the Data Engineering team, we help arenaflex manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time. We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.

Our team is comprised of passionate data professionals who thrive on solving complex challenges at scale. We believe that data is the backbone of modern retail, and we're looking for someone who shares our vision of transforming raw data into actionable intelligence that benefits millions of customers worldwide.

What You'll Do

As a Senior Data Modeler at arenaflex, you will play a critical role in our Data Ventures initiative. Your expertise will be instrumental in designing and maintaining the data infrastructure that powers our retail operations, analytics, and machine learning capabilities.


  • Collaborate with Application Development: Work closely with the Application Development team to implement data strategies, build efficient data flows, and develop robust conceptual data models that serve as the foundation for our enterprise applications.

  • Design Excellence: Create logical and physical data models using industry best practices to ensure high data quality and support application, batch, and interactive use cases across the organization.

  • Model Optimization: Create, optimize, and update logical and physical data models to support new and existing projects according to company standards, ensuring scalability and performance.

  • Multi-Platform Expertise: Develop data modeling solutions optimized for relational, dimensional, and NoSQL databases, leveraging the most appropriate technology for each use case.

  • Metadata Management: Maintain conceptual, logical, and physical data models along with corresponding metadata, ensuring comprehensive documentation and lineage tracking.

  • Best Practices Development: Develop best practices for standard naming conventions and coding practices to ensure consistency of data models across all projects and teams.

  • Reusable Solutions: Recommend opportunities for reuse of data models in new environments, maximizing our investment in data architecture.

  • Reverse Engineering: Perform reverse engineering of physical data models from databases and SQL scripts to understand and document existing systems.

  • Quality Assurance: Evaluate data models and physical databases for variances and discrepancies, ensuring data integrity throughout the organization.

  • Business Validation: Validate business data objects for accuracy and completeness, working closely with business stakeholders to ensure alignment.

  • Technical Leadership: Analyze data-related system integration challenges and propose appropriate solutions that meet both technical and business requirements.

  • Team Guidance: Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces.

  • Code Review: Review modifications to existing software to improve efficiency and performance, ensuring best practices are followed.

  • Architecture Design: Examine new application design and recommend corrections if required, providing expert guidance on data architecture decisions.

What You'll Bring

We're looking for a seasoned professional with a proven track record in data modeling and warehouse design. The ideal candidate will bring a combination of technical expertise, business acumen, and leadership capabilities.

Essential Qualifications:


  • Academic Background: Good academic record with a Bachelor's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MBA preferred).

  • Extensive Experience: At least 10+ years of hands-on data warehousing experience, demonstrating deep expertise in the field.

  • Modeling Expertise: Strong knowledge of different data modeling techniques for data warehousing, including 3NF (Third Normal Form), Dimensional, and hybrid approaches.

  • Scale Experience: Experience working on large-scale data warehouses (100 TB+) and operational data stores (ODS), with demonstrated ability to handle massive datasets.

  • Technology Proficiency: Significant experience in building data models for MPP (Massively Parallel Processing), Relational, and NoSQL technologies, including BigData, Hive, SQL*Server, Hadoop, Cassandra, and Cloud databases such as Big Query and/or Snowflake.

  • Global Collaboration: Good experience working with globally distributed teams in a collaborative and productive manner, demonstrating cultural awareness and communication skills.

  • Interpersonal Skills: Excellent communication skills across a variety of stakeholders, with the ability to negotiate with and influence others at all levels of the organization.

Minimum Qualifications:


  • Option 1: Bachelor's degree in Computer Science or related field and 3 years' experience in data modeling, data analytics, data warehouse, software engineering, or related field.

  • Option 2: 5 years' experience in data modeling, data analytics, data warehouse, software engineering, or related field.

  • Option 3: Master's degree in Computer Science or related field and 1 year's experience in data modeling, data analytics, data warehouse, software engineering, or related field.

Preferred Qualifications:


  • Advanced degree in Data Modeling, Computer Engineering, Computer Science, or Information Systems.

  • Relevant industry experience in retail, supply chain, eCommerce, healthcare, or similar domains.

  • Certifications in data modeling or data warehouse methodologies.

  • Experience with cloud-native data platforms and modern data architecture patterns.

About arenaflex Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at arenaflex Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.

People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.

Work Environment & Culture

At arenaflex, we believe that our greatest asset is our people. We foster a culture of innovation, collaboration, and continuous learning. Our team members are encouraged to think creatively, challenge the status quo, and propose new ideas that can transform our business and the retail industry as a whole.

You'll find a supportive environment where your contributions are valued and recognized. We believe in transparent communication, merit-based advancement, and work-life balance. Our campuses are designed to facilitate collaboration and creativity, with state-of-the-art facilities and resources to support your professional growth.

Career Growth & Learning Opportunities

We invest in our people. As part of the arenaflex team, you'll have access to comprehensive training programs, certifications, and professional development opportunities. Whether you're looking to deepen your technical expertise or develop leadership skills, we provide the resources to help you achieve your career goals.

Our scale means there are countless opportunities to work on challenging projects, explore new technologies, and make a meaningful impact. You'll work with some of the brightest minds in the industry, learning from experts in data science, machine learning, cloud computing, and retail analytics.

Compensation & Benefits

Beyond our competitive compensation package, you can receive incentive awards for your performance. We believe in recognizing and rewarding excellence. Our comprehensive benefits package includes:


  • Financial Security: 401(k) match and stock purchase plan to help you build your future.

  • Family Support: Paid maternity and parental leave, because we know family matters.

  • Time Off: Paid Time Off (PTO) to recharge and maintain work-life balance.

  • Health & Wellness: Multiple health plans to choose from, covering medical, dental, and vision needs.

  • Professional Development: Access to training programs, conferences, and certification support.

  • Employee Discounts: Enjoy exclusive discounts on arenaflex products and services.

  • Inclusive Culture: Be part of a diverse and inclusive workplace that values unique perspectives and experiences.

Equal Opportunity Employer

arenaflex, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity – unique styles, experiences, identities, abilities, ideas, and opinions – while being inclusive of all people.

We are committed to creating a workplace where every individual feels valued, respected, and empowered to contribute their best work. We encourage applications from candidates of all backgrounds and experiences.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Ready to Make an Impact?

If you're passionate about data, driven by challenges, and eager to shape the future of retail, we want to hear from you. Join arenaflex and be part of a team that's transforming the way the world shops and lives. Your work will make an impact every single day.

Don't miss this opportunity to grow your career with a global leader in retail and technology. Apply today and become part of something extraordinary!

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