Senior Data Engineer - Information Modeling & Enterprise Data Warehouse Solutions (Remote/Hybrid)

Join arenaflex as a Senior Data Engineer - Information Modeling Expert

Are you ready to transform the way a global enterprise harnesses the power of data? At arenaflex, we're not just managing information—we're revolutionizing how retail operates through cutting-edge data engineering and intelligent modeling. As a Senior Data Engineer specializing in Information Modeling, you'll play a pivotal role in shaping the data infrastructure that powers one of the world's most innovative retail organizations.

Imagine working for a company that touches the lives of millions of customers every single day. Now imagine being the minds behind the data models that make those experiences seamless, personalized, and efficient. That's exactly what you'll be doing at arenaflex.

About arenaflex and Our Data Engineering Culture

At arenaflex, we believe that data is more than just numbers—it's the foundation of modern retail excellence. Our Data Engineering team is tasked with the incredible challenge of managing enormous volumes of information that flow through our organization daily. We build pipelines and data lakes that transform massive datasets into actionable insights, enabling real-time decision-making across every aspect of our business.

When you join our Data Engineering team, you're not just accepting a job—you're becoming part of a community of passionate data professionals who are solving some of the most complex challenges in the retail industry. From optimizing supply chains to personalizing customer experiences, your work will have a tangible impact on millions of people around the globe.

Our culture values innovation, collaboration, and continuous learning. We invest heavily in your professional development, offering training programs that keep you at the forefront of data engineering technologies. Whether you're a seasoned veteran or just starting your career in data modeling, arenaflex provides the resources and support you need to grow.

What You'll Do: Key Responsibilities

As a Senior Data Engineer specializing in Information Modeling at arenaflex, you'll be responsible for designing, building, and maintaining the data models that form the backbone of our enterprise data infrastructure. This is a high-impact role that requires both technical excellence and strategic thinking.

• Collaborate with Application Development Teams: Work closely with our application development teams to implement data strategies, build efficient data pipelines, and develop robust data models that support business objectives.


• Design Logical and Physical Data Models: Create comprehensive logical and physical data models using industry best practices to ensure high data quality and support diverse use cases across the organization.


• Develop and Maintain Enterprise Data Models: Create, enhance, and update logical and physical data models to support new and existing projects according to company standards and architectural guidelines.


• Optimize for Modern Database Technologies: Design data modeling solutions optimized for relational, dimensional, and NoSQL databases, including big data technologies like Hadoop, Hive, and cloud platforms such as BigQuery and Snowflake.


• Maintain Data Dictionary and Metadata: Keep applied, logical, and physical data models current along with corresponding metadata to ensure data governance and discoverability.


• Establish Best Practices: Develop best practices for standard naming conventions and coding practices to ensure consistency and quality across all data models.


• Promote Data Model Reuse: Identify and recommend opportunities for reuse of data models in new environments and applications.


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


• Evaluate Data Quality: Assess data models and physical databases for changes, errors, and optimization opportunities.


• Validate Business Data Objects: Ensure business data objects are accurate and complete before implementation.


• Analyze Integration Challenges: Examine data-related system integration challenges and propose appropriate solutions that align with enterprise architecture.


• Provide Technical Guidance: Guide System Analysts, Architects, Developers, and other stakeholders on project boundaries, capabilities, performance requirements, and interfaces.


• Review Code and Design: Review modifications to existing programs to improve efficiency and performance, and examine new application designs to recommend improvements.

What You'll Bring: Required Qualifications

We're looking for experienced data professionals who have a proven track record of success in enterprise data warehousing and information modeling. If you're ready to take the next step in your career at a company that truly values your expertise, we want to hear from you.

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


• Extensive Experience: Minimum of 10+ years of hands-on experience in data warehousing and enterprise data engineering.


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


• Large-Scale Data Experience: Experience managing large-scale (100 TB+) data warehouses or operational data stores in production environments.


• Modern Technology Proficiency: Hands-on experience building data models for MPP, relational, and NoSQL technologies, including BigData, Hive, SQL Server, Hadoop, Cassandra, and cloud databases like BigQuery and Snowflake.


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


• Exceptional Communication: Strong verbal and written communication skills with the ability to negotiate with and influence stakeholders across all levels of the organization.

Preferred Qualifications

While not required, the following qualifications will help you stand out:

• Advanced degree in Computer Engineering, Computer Science, or Information Systems


• Industry experience in retail, e-commerce, supply chain, or healthcare sectors


• Certifications in cloud platforms (AWS, Azure, GCP)


• Experience with machine learning data pipelines


• Knowledge of data governance frameworks

Career Growth and Learning Opportunities

At arenaflex, your career trajectory is limited only by your ambition. We offer numerous pathways for professional development, including:

• Technical Leadership Tracks: Progress into principal engineer or chief architect roles where you'll set technical direction for the organization.


• Management Pathways: Transition into team lead, manager, or director positions if you prefer leading teams.


• Specialization Opportunities: Deepen your expertise in specific areas like cloud architecture, real-time streaming, or AI/ML data infrastructure.


• Cross-Functional Exposure: Work on projects spanning multiple business units, giving you a holistic understanding of retail operations.


• Conference and Training Budget: Annual budget for professional development, certifications, and industry conferences.


• Mentorship Programs: Both receive guidance from senior leaders and mentor junior team members.

Work Environment and Culture

We believe in a flexible, hybrid approach to work that balances collaboration with autonomy. Our offices serve as hubs for teamwork, innovation, and connection, while remote work provides the flexibility you need to do your best work.

When you're on-site, you'll have access to state-of-the-art facilities designed to foster creativity and collaboration. Modern meeting rooms, collaborative workspaces, and comfortable breakout areas make it easy to connect with colleagues and work through complex problems together.

Our remote-first mindset means location doesn't limit your opportunities. You can contribute to meaningful work while enjoying the comfort of your home office. We provide the technology and support you need to stay connected and productive, including stipends for home office equipment and robust virtual collaboration tools.

At arenaflex, we celebrate diversity and believe that different perspectives make us stronger. We're committed to creating an inclusive environment where everyone feels valued and can bring their authentic selves to work.

Compensation and Benefits

We recognize that great talent deserves great rewards. Our comprehensive compensation package includes:

• Competitive Salary: Industry-leading base salary commensurate with your experience and expertise.


• Performance Bonuses: Annual performance incentives and recognition awards for exceptional contributions.


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


• 401(k) Retirement Plan: Generous 401(k) matching to help you save for the future.


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


• Paid Time Off: Generous PTO policy that encourages work-life balance.


• Parental Leave: Paid maternity and paternity leave to support your growing family.


• Employee Assistance Program: Confidential support for personal and professional challenges.


• Education Assistance: Financial support for continuing education and professional certifications.

Why arenaflex? Making an Impact Every Day

When you work at arenaflex, your work has real consequences. Every line of code you write, every data model you design, and every insight you uncover contributes to helping millions of people save money and live better. That's not just a mission statement—it's what we do every single day.

We pioneered retail innovation, and we continue to lead the industry in leveraging technology to create better experiences for our customers. From our legendary supply chain efficiency to our cutting-edge e-commerce platforms, data drives everything we do. As a member of our Data Engineering team, you'll be at the heart of this transformation.

Here, you can launch an extraordinary career in technology, gain new skills and experience across virtually every industry, or apply your expertise to grow at scale and influence millions. Whether you're just starting your journey or looking for the opportunity that will define your career, arenaflex is the place where you can make it happen.

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 truly know them. That means understanding, respecting, and valuing diversity in unique styles, experiences, personalities, ideas, and perspectives—while being inclusive of everyone.

We welcome candidates from all backgrounds and walks of life. If you're passionate about data and want to make a difference, we encourage you to apply.

Ready to Join Our Team?

If you're excited about the opportunity to work with cutting-edge data technologies, solve complex business challenges, and make a real impact, we want to hear from you. Take the first step toward an incredible career at arenaflex today.

Note: The above information has been designed to show the general nature and level of work performed in this role. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this role. The full job description can be made available as part of the recruiting process.

Minimum Requirements:

• Bachelor's degree in Computer Science or related field AND 3 years' experience in data modeling, data analysis, data warehouse, programming, or related field; OR


• 5 years' experience in data modeling, data analysis, data warehouse, programming, or related field; OR


• Master's degree in Computer Science or related field AND 1 year's experience in data modeling, data analysis, data warehouse, programming, or related field.

Don't miss this opportunity to join one of the world's most innovative companies and help shape the future of retail through the power of data. Apply now and become part of the arenaflex family!