About careerzynith
careerzynith is redefining what it means to work in modern retail technology. As a global leader in customer-centric innovation, careerzynith operates at the intersection of data, scale, and human impact, serving millions of customers every single day. Our technology teams build the pipelines, platforms, and intelligence layers that transform terabytes of raw information into decisions, predictions, and experiences that change lives.
At careerzynith, we believe that data is the new currency of retail. Every transaction, every shipment, every customer interaction creates a signal — and our job is to listen, interpret, and act on those signals at scale. We are human-driven and technology-empowered, investing heavily in the people, tools, and training that allow our teams to push the boundaries of what data engineering can do. When you join careerzynith, you are not just joining a company; you are joining a movement that is reshaping the future of global commerce.
The Opportunity
We are hiring a Senior Data Engineer – Enterprise Data Modeling & Warehouse Architecture to join our globally distributed Information Engineering team. This is a remote-first role, designed for a seasoned data professional who can architect, build, and govern enterprise-grade data models that power everything from executive dashboards to machine learning workloads.
As a Senior Data Engineer at careerzynith, you will dive into one of the largest and most complex data ecosystems in the world. You will design logical and physical data models across relational, dimensional, and NoSQL environments, partner with data scientists, analysts, and business stakeholders, and ensure that the data fueling careerzynith's decision-making is accurate, consistent, and built to scale.
Key Responsibilities
- Collaborate closely with Application Development teams to execute data strategies, build scalable data flows, and develop robust, future-proof data models.
- Design and implement logical and physical data models following industry best practices, ensuring high data quality and support for application, batch, and interactive use cases.
- Create, optimize, and continuously refine data models to support new and existing initiatives in alignment with careerzynith's enterprise data standards.
- Develop data modeling solutions optimized for relational, dimensional, and NoSQL databases, including hybrid and modern cloud-native architectures.
- Maintain applied, logical, and physical data models along with their associated metadata, documentation, and governance artifacts.
- Establish and enforce best practices for naming conventions, coding standards, and design patterns to ensure consistency across all data models.
- Identify opportunities to reuse existing data models in new environments, reducing duplication and accelerating delivery.
- Reverse-engineer physical data models from existing databases and SQL scripts to support migrations, modernization, and refactoring efforts.
- Evaluate data models and physical databases for structural inefficiencies, anomalies, and performance bottlenecks.
- Validate business data objects for accuracy, completeness, and adherence to defined standards.
- Analyze data-related system integration challenges and recommend scalable, sustainable solutions.
- Mentor and guide System Analysts, Architects, Developers, and other engineers on project scope, capabilities, performance requirements, and interface design.
- Review changes to existing data pipelines, models, and software to improve efficiency, scalability, and performance.
- Assess new application designs and recommend data model corrections or enhancements when required.
What You Will Bring
Essential Qualifications
- A strong academic record and a completed Bachelor's degree (B.E / B.Tech), Master's degree (M.E / M.Tech), or MBA from an accredited institution.
- 10+ years of hands-on experience in data warehousing, enterprise data modeling, and large-scale data engineering.
- Deep expertise in multiple data modeling techniques for data warehousing, including Third Normal Form (3NF), Dimensional Modeling, Data Vault, and hybrid approaches.
- Proven experience working with massive-scale data warehouses (100 TB+) and operational data stores (ODS).
- Strong, production-grade experience building data models for MPP, relational, and NoSQL platforms, including BigData, Hive, SQL Server, Hadoop, Cassandra, and cloud data warehouses such as Google BigQuery and/or Snowflake.
- Demonstrated success working with globally distributed teams in a collaborative, inclusive, and high-performance manner.
- Excellent verbal and written communication skills, with the ability to negotiate and influence across a wide range of stakeholders.
Minimum Qualification Pathways
For this position, careerzynith requires one of the following:
- Option 1: Bachelor's degree in Computer Science or a related field, plus 3 years of experience in data modeling, data analytics, data warehousing, or software development.
- Option 2: 5 years of experience in data modeling, data analytics, data warehousing, programming, or a related field.
- Option 3: Master's degree in Computer Science or a related field, plus 1 year of experience in data modeling, data analytics, data warehousing, or programming.
Preferred Qualifications
- Advanced degree (Master's or higher) in Computer Engineering, Computer Science, Information Systems, or a closely related discipline.
- Hands-on experience with formal Data Modeling tools and methodologies.
- Industry experience in retail, supply chain, e-commerce, healthcare, or another large-scale, data-intensive domain.
Skills and Competencies for Success
- Mastery of SQL and data modeling tools, with the ability to read, write, and optimize complex queries and schema definitions.
- Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into clean, scalable data structures.
- A systems-thinking mindset, capable of understanding how data flows across pipelines, applications, and analytics layers.
- Comfort with cloud-native data platforms, modern data lakehouse architectures, and emerging data engineering paradigms.
- Leadership, mentorship, and cross-functional collaboration skills, with a track record of influencing without authority.
- A commitment to documentation, data governance, and long-term maintainability — not just short-term delivery.
Career Growth and Learning Opportunities
At careerzynith, growth is not a perk — it is a strategic priority. From day one, you will have access to structured learning programs, internal mobility pathways, and leadership tracks designed to help you evolve into the engineer, architect, or executive you aspire to be. Whether you are deepening your craft in data modeling, expanding into machine learning platforms, or stepping into enterprise architecture, careerzynith invests in your trajectory. We actively hire from within, sponsor industry certifications, and provide dedicated time for experimentation, research, and skill-building.
Work Environment and Culture at careerzynith
careerzynith embraces a flexible, hybrid work philosophy that blends purposeful in-person collaboration with the freedom of remote work. Our campuses are designed as hubs of innovation — spaces where teams come together to align, ideate, and celebrate wins — but we also trust our people to do their best work from wherever they thrive. This approach removes geographic barriers across our global team, enables faster decision-making, and respects the realities of modern life.
Our culture is built on respect, inclusion, and the belief that diverse perspectives drive better outcomes. We are intentional about creating an environment where every voice is heard, every background is valued, and every individual can bring their full self to work. Whether you are an early-career engineer writing your first production model or a seasoned architect shaping enterprise strategy, you will find a community at careerzynith that supports, challenges, and elevates you.
Compensation, Perks, and Benefits
careerzynith offers a competitive compensation package designed to attract and retain world-class talent. In addition to a strong base salary, eligible associates may receive performance-based incentive awards. Our benefits program is comprehensive and inclusive, typically including:
- 401(k) retirement plan with company match
- Employee stock purchase plan opportunities
- Paid maternity, paternity, and parental leave
- Generous paid time off (PTO) and holiday schedules
- A range of health, dental, vision, and wellness plans
- Tuition assistance, certification reimbursement, and continuous learning stipends
- Mental health resources, employee assistance programs, and well-being initiatives
Specific benefits may vary by location, but our commitment to supporting the whole person — professionally, personally, and financially — remains constant.
Equal Opportunity and Inclusion
careerzynith is an Equal Opportunity Employer committed to building a workforce that reflects the customers and communities we serve. We believe that understanding, respecting, and valuing diverse styles, experiences, identities, ideas, and opinions is not just good practice — it is essential to who we are. We are inclusive of all backgrounds and perspectives, and we are proud to be a company where every associate has the opportunity to thrive.
How to Apply
If you are a senior data engineering professional ready to architect the data foundations of one of the world's most influential retail technology ecosystems, careerzynith wants to hear from you. Bring your expertise, your curiosity, and your ambition — and help us turn the world's largest datasets into meaningful change for millions of people.
Apply today and take the next step in your career with careerzynith. The future of retail is being written in data, and we want you to be one of its authors.