Senior Data Modeler – Enterprise Data Warehousing & Analytics (Remote – arenaflex) – Lead Data Architecture for Retail Innovation

About arenaflex

arenaflex is a global leader in retail technology, dedicated to empowering millions of shoppers worldwide to live better lives. Our mission drives every decision we make, from supply‑chain optimization to customer‑experience innovation. As a technology‑first organization, we blend cutting‑edge data science, artificial intelligence, and robust engineering practices to reshape the future of retail. Joining arenaflex means becoming part of a purpose‑driven community that values curiosity, creativity, and impact.

Why Join arenaflex?

At arenaflex, you will work on data problems that affect billions of transactions each day. Our scale provides a unique playground for data professionals who thrive on complexity and love turning massive data sets into actionable insights. You will collaborate with cross‑functional teams—Data Engineers, Data Scientists, Business Analysts, and Product Leaders—to build the data foundations that power next‑generation retail experiences.

We offer a flexible hybrid work model that blends the energy of on‑site collaboration with the freedom of remote work. Whether you are based in California or anywhere else in the United States, you will have access to state‑of‑the‑art tools, continuous learning resources, and a supportive community that celebrates diversity and inclusion.

Key Responsibilities

• Partner with the Application Development team to design and implement data strategies that enable scalable data pipelines and robust data models.
• Architect logical and physical data models using industry‑best practices to ensure high data quality, performance, and reusability across multiple business domains.
• Develop, refine, and maintain enterprise‑wide data models that support new and existing initiatives, adhering to corporate data‑governance standards.
• Create data modeling patterns for relational, hierarchical, and NoSQL data stores, including Big Data platforms such as Hive, Hadoop, Cassandra, Snowflake, and Amazon Redshift.
• Maintain comprehensive documentation of logical, physical, and semantic models, including metadata catalogs and data lineage.
• Establish and enforce naming conventions, coding standards, and modeling guidelines to promote consistency across the data ecosystem.
• Identify opportunities for model reuse and drive the creation of reusable data assets that accelerate project delivery.
• Perform reverse‑engineering of physical models from existing data sets and SQL scripts to uncover hidden relationships and improve data integrity.
• Validate data models against business requirements, ensuring accuracy, completeness, and alignment with strategic objectives.
• Troubleshoot complex data‑modeling challenges, propose pragmatic solutions, and guide architects, developers, and analysts through implementation hurdles.
• Conduct performance reviews of existing data models, recommending optimizations that enhance query efficiency and reduce storage costs.
• Collaborate with product owners to review new application designs, offering data‑modeling insights that shape scalable, future‑proof solutions.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (B.E., B.Tech, M.E., M.Tech, MBA).
• Minimum 10 years of hands‑on experience in data warehousing and enterprise data modeling.
• Deep understanding of data modeling techniques—3NF, dimensional (star/snowflake), layered, and hybrid approaches.
• Proven experience designing and managing data warehouses exceeding 100 TB in size, including operational data stores (ODS).
• Extensive work with MPP, NoSQL, and cloud‑native data platforms (e.g., Hadoop, Hive, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse).
• Strong analytical skills with the ability to translate business requirements into robust logical and physical models.
• Excellent communication and stakeholder‑management abilities, capable of influencing cross‑functional teams.

Preferred Qualifications & Experience

• Master’s degree or advanced certifications in Data Architecture, Data Engineering, or related disciplines.
• Experience in retail, e‑commerce, or large‑scale consumer‑goods environments, providing domain‑specific insight.
• Hands‑on exposure to data‑governance frameworks, metadata management tools (e.g., Collibra, Alation), and data cataloging.
• Familiarity with data‑mesh concepts and modern data‑fabric architectures.
• Track record of mentoring junior data professionals and leading data‑modeling communities of practice.

Core Skills & Competencies

• Technical Proficiency: SQL, PL/SQL, T‑SQL, Spark SQL, Python/Scala for data manipulation, and familiarity with ETL/ELT tools (Informatica, Talend, dbt).
• Modeling Tools: Erwin, IBM InfoSphere Data Architect, PowerDesigner, or open‑source alternatives.
• Cloud Platforms: AWS, Azure, Google Cloud Platform—particularly data services such as Redshift, Snowflake, BigQuery, and Azure Synapse.
• Analytical Mindset: Ability to dissect complex data sets, identify inconsistencies, and propose data‑quality improvements.
• Collaboration: Strong interpersonal skills to work effectively with distributed, multicultural teams.
• Problem‑Solving: Creative approach to resolving data‑modeling challenges, balancing performance, scalability, and maintainability.
• Documentation: Clear, concise, and comprehensive documentation of data models, standards, and governance processes.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Senior Data Modeler, you will have access to:

• Mentorship programs with senior architects and industry thought leaders.
• Sponsored certifications (e.g., AWS Certified Data Analytics, SnowPro Core, TOGAF).
• Internal hackathons and data‑innovation challenges that encourage experimentation.
• Cross‑functional rotation opportunities to broaden your expertise in analytics, AI, and product development.
• Leadership pathways that can lead to roles such as Data Architecture Director, Chief Data Officer, or Head of Data Strategy.

Work Environment & Culture

Our culture is built on the pillars of inclusion, curiosity, and impact. At arenaflex you will experience:

• A hybrid work model that blends collaborative office spaces with remote flexibility.
• Employee resource groups that celebrate diversity of thought, background, and experience.
• Regular “Tech Talk” sessions, brown‑bag lunches, and knowledge‑sharing forums.
• Transparent communication from senior leadership about business goals and how data drives success.
• A supportive environment that encourages work‑life balance, mental‑health awareness, and continuous feedback.

Compensation, Benefits & Perks

arenaflex offers a competitive total rewards package designed to attract and retain top talent:

• Base salary in the range of $120,000 – $150,000 (adjusted for experience and location).
• Annual performance bonuses tied to individual and company outcomes.
• Equity participation through stock purchase plans.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• 401(k) plan with generous company match.
• Paid parental leave, generous PTO, and flexible holidays.
• Wellness stipend, employee assistance programs, and access to virtual fitness classes.
• Professional development budget for conferences, courses, and certifications.
• Modern office amenities—ergonomic workstations, collaborative lounges, and on‑site cafeterias.

Application Process

Ready to bring your data‑modeling expertise to a company that’s redefining retail? Follow these steps to apply:

1. Review the official job posting on the arenaflex careers portal.
2. Prepare the required documents: a copy of your degree certificate with transcripts, a current résumé, a passport‑size photo, and a digital signature.
3. Complete the online application form, attaching the documents listed above.
4. Submit your application and await a confirmation email with next‑step instructions.
5. If selected, you will participate in a structured interview process that includes technical assessments, a data‑modeling case study, and cultural fit conversations.

Ready to Shape the Future of Retail?

If you are passionate about turning massive data volumes into strategic advantage, thrive in a collaborative, fast‑moving environment, and want to make a tangible impact on millions of shoppers worldwide, arenaflex wants to hear from you. Join us to lead the data‑architecture journey that powers the next wave of retail innovation.

Apply Now – Transform Retail with arenaflex!