Experienced Senior Data Modeler - Enterprise Data Architecture & Analytics Solutions

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About arenaflex

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 shape the future of retail and technology. We can't do that without the best talent – talent that is innovative, curious, and committed to creating exceptional experiences for our customers. Join us in revolutionizing how the world shops, works, and lives through the power of data and technology.

Welcome to arenaflex Global Tech – where one line of code can make life easier for millions of people. We are a team of programmers, data scientists, cybersecurity experts, and management professionals within the world's leading retailer who have a tremendous impact and are at the forefront of the next retail disruption. People are the reason we innovate, and people power our innovations. We are human-driven and tech-engaged. We train our team in the skills of the future and bring in experts like you to help us grow.

About the Data Engineering Team

Everybody has data, but the sheer volume of data at arenaflex can be boundless. 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 meaningful insights in real-time. We also leverage cross-departmental data and artificial intelligence to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while helping our leadership make better decisions faster.

As a Senior Data Modeler at arenaflex, you will dive into our mammoth size of data to help unleash the power of retail data science by designing, creating, and maintaining data models that our Data Designers, Researchers, and Analysts can rely on. You will partner with Data Engineers, Data Scientists, Stewards, other developers, and business stakeholders to solve complex and exciting modeling and analytical challenges so we can build capabilities that grow the retail business model while having a positive impact on our customers' lives.

What You'll Do

As a Senior Data Modeler in our Data Ventures division, you will play a critical role in shaping how arenaflex leverages its massive data assets. Your work will directly enable data-driven decision making across the entire organization, from executive leadership to store-level operations. Here's what you can expect in this role:

• Data Strategy Implementation: Work closely with the Application Development team to implement data strategies, build data streams, and develop scalable data models that meet enterprise-wide requirements.


• Data Model Development: Create intuitive 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 Maintenance & Optimization: Create, improve, and update logical and physical data models to support new and existing projects according to company standards and architectural guidelines.


• Multi-Platform Modeling: Design data modeling solutions optimized for relational, hierarchical, and NoSQL databases including BigData, Hive, SQL Server, Hadoop, Cassandra, and cloud databases like BigQuery and Snowflake.


• Metadata Management: Maintain logical and physical data models along with corresponding metadata to ensure proper 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.


• Model Reusability: Recommend opportunities for reuse of data models in new environments and applications to maximize return on modeling investment.


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


• Quality Assurance: Evaluate data models and physical databases for discrepancies and inconsistencies, working to resolve data integrity issues.


• Business Validation: Validate business data objects for accuracy and completeness in collaboration with business stakeholders.


• Integration Solutions: Analyze data-related system integration challenges and propose appropriate solutions that meet performance and scalability requirements.


• Technical Leadership: Guide System Analysts, Architects, Developers, and other team members on project constraints and capabilities, performance requirements, and interfaces.


• Code Review: Review modifications to existing programming to improve efficiency and performance across data pipelines and applications.


• Architecture Recommendations: Examine new application designs and recommend improvements when necessary to align with enterprise data architecture standards.

What You'll Bring

We're looking for a passionate data professional who thrives on solving complex problems and has the expertise to design data solutions that scale. The ideal candidate will have:

• Educational Background: Strong academic record with a bachelor's degree (B.E/B.Tech/M.E/M.Tech/MBA) in Computer Science, Information Systems, or a related technical field.


• Extensive Experience: Minimum of 10+ years of hands-on data warehousing experience with proven track record of delivering enterprise-scale data solutions.


• Modeling Expertise: Solid knowledge of various data modeling techniques for data warehousing including 3NF, dimensional, hybrid, and data vault methodologies.


• Big Data Experience: Experience working on large-scale (100 TB+) data warehouses (DW) and operational data stores (ODS) that handle massive transaction volumes.


• Technology Proficiency: Extensive experience building data models for MPP, relational, and NoSQL technologies including BigData, Hive, SQL Server, Hadoop, Cassandra, and cloud databases such as BigQuery and Snowflake.


• Collaborative Skills: Great experience working with globally distributed teams in a collaborative and productive manner, with the ability to navigate time zone differences and cultural diversity.


• Communication Abilities: Excellent verbal and written communication skills across a variety of stakeholders, with the ability to negotiate with and influence others to achieve positive outcomes.


• Problem-Solving: Strong analytical mindset with the ability to approach complex data challenges with creative and practical solutions.

Preferred Qualifications

While not required, the following qualifications will give you an edge in this role:

• Advanced degree (Master's or PhD) in Computer Engineering, Computer Science, or Information Systems


• Relevant industry experience in retail, supply chain, e-commerce, healthcare, or financial services


• Certification in data modeling or data architecture (e.g., CDMP, TOGAF)


• Experience with cloud-native data platforms and modern data architectures


• Knowledge of machine learning workflows and how data models support AI/ML initiatives


• Familiarity with data governance frameworks and data stewardship practices

Skills & Competencies

To succeed in this role, you'll need to demonstrate:

• Technical Proficiency: Deep expertise in data modeling tools, SQL, and database technologies across multiple platforms.


• Analytical Thinking: Ability to translate complex business requirements into technical data solutions.


• Attention to Detail: Meticulous approach to data model design ensuring accuracy and completeness.


• Strategic Vision: Understanding of how data architecture decisions impact broader business objectives.


• Adaptability: Willingness to learn new technologies and adapt to evolving data landscape.


• Mentorship: Ability to guide and mentor junior team members on best practices.

Career Growth & Learning Opportunities

At arenaflex, we believe in investing in our people's growth. As a Senior Data Modeler, you'll have access to:

• Career Advancement: Clear pathways to lead data architecture roles, technical management positions, or specialized data science tracks.


• Continuous Learning: Access to cutting-edge training programs, certifications, and workshops in the latest data technologies and methodologies.


• Industry Exposure: Work on projects that impact millions of customers globally, gaining unparalleled experience in enterprise-scale data operations.


• Innovation Labs: Opportunities to participate in proof-of-concept projects and innovation initiatives.


• Mentorship Programs: Both receive guidance from senior leaders and mentor the next generation of data professionals.


• Cross-Functional Exposure: Collaborate with teams across engineering, product, analytics, and business domains.

Work Environment & Culture

We embrace a flexible, hybrid work approach that is primarily in-office combined with virtual work when not on-site. Our campuses serve as hubs to enhance collaboration, bring us together for purpose, and deliver business needs. This approach helps us make faster decisions, eliminate location barriers across our global team, and be more flexible in our personal lives.

At arenaflex, you'll find:

• Inclusive Culture: We believe we are best positioned to help our associates, customers, and the communities we serve live better when we truly know them. This means understanding, respecting, and valuing diversity of unique styles, experiences, personalities, ideas, and opinions – while being inclusive of everyone.


• Innovation-Focused: Work alongside talented professionals who are passionate about using technology to solve real-world problems.


• Impact-Driven: Know that your work directly impacts millions of customers and shapes the future of retail.


• Collaborative Spirit: Join teams that value teamwork, knowledge sharing, and mutual support.

Compensation & Benefits

At arenaflex, we offer competitive compensation packages that reflect the value you bring to our organization. Beyond our great pay, you can expect:

• Performance Incentives: Recognition awards for your contributions and exceptional performance.


• Retirement Plans: 401(k) match to help you save for the future.


• Stock Purchase Plan: Opportunity to own part of the company through our employee stock purchase program.


• Paid Leave: Comprehensive paid maternity and paternity leave, plus generous PTO.


• Health & Wellness: Multiple health plans covering medical, dental, and vision for you and your family.


• Additional Perks: Employee discounts, wellness programs, and more.

Equal Opportunity Employer

arenaflex, Inc. is an Equal Opportunity Employer – By Design. We believe we are best positioned to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing diversity – including unique styles, experiences, personalities, ideas, and opinions – while being inclusive of everyone.

The above information has been designed to indicate the general nature and level of work performed in the job. It is not designed to contain or be interpreted as a complete inventory of all duties, responsibilities, and qualifications required of employees assigned to this work.

Ready to Make an Impact?

Are you ready to join a team where your work makes a difference every single day? At arenaflex, you will play a critical role in shaping the future of retail, technology, and data science – all while impacting the lives of millions of customers around the world. Here, your work has an impact. What are you waiting for?

Don't miss this opportunity to be part of something big. Apply now and take the first step toward an exciting career at arenaflex!

Position: Senior Data Modeler - Data Ventures

Location: California

Employment Type: Full-Time

Work Hours: 8 Hours per day