Why hirevault?
hirevault is a global leader in retail technology and data‑driven innovation. Our mission is simple yet powerful: help people save money and live better. That mission fuels every decision we make and inspires us to build the future of retail through cutting‑edge data platforms, AI‑enhanced insights, and seamless customer experiences. As part of hirevault, you will join a community of curious, innovative, and purpose‑driven professionals who are reshaping how billions of shoppers interact with products, services, and brands worldwide.
Position Overview
We are seeking a highly experienced Senior Data Modeler to lead the design, development, and maintenance of enterprise‑wide data models that power hirevault’s analytics, machine‑learning, and operational systems. This remote role offers the flexibility to work from anywhere in the United States while collaborating with cross‑functional teams across engineering, data science, product, and business leadership. You will be the architect behind the data structures that enable real‑time insights, predictive analytics, and strategic decision‑making for a multi‑billion‑dollar retail ecosystem.
Key Responsibilities
- Strategic Data Modeling: Partner with Application Development, Data Engineering, and Business Stakeholders to design conceptual, logical, and physical data models that support batch, streaming, and interactive workloads.
- Model Development & Optimization: Create and refine relational, dimensional, and NoSQL models for platforms such as Snowflake, BigQuery, Hive, Cassandra, and Hadoop, ensuring high performance, scalability, and data quality.
- Metadata Management: Maintain comprehensive metadata repositories, enforce naming conventions, and document model lineage to promote transparency and reuse across the organization.
- Cross‑Team Collaboration: Work closely with Data Engineers, Data Scientists, Data Stewards, and Business Analysts to translate business requirements into robust data structures.
- Quality Assurance & Validation: Conduct rigorous validation of data objects, perform reverse engineering of existing databases, and resolve discrepancies between source systems and target models.
- Best Practices & Governance: Define and champion data modeling standards, coding guidelines, and governance frameworks that align with hirevault’s data‑centric culture.
- Performance Tuning: Analyze and optimize model performance, recommend indexing strategies, and evaluate storage patterns for both on‑premise and cloud environments.
- Mentorship & Leadership: Guide junior modelers, system analysts, and engineers, sharing expertise on modeling techniques, data architecture, and industry trends.
- Innovation & Continuous Improvement: Identify opportunities for model reuse, automation, and integration with emerging technologies such as graph databases and data‑mesh concepts.
Essential Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
- Minimum 10 years of hands‑on experience designing and implementing data warehouses or data lakes at enterprise scale (100 TB+).
- Deep expertise in data modeling techniques including 3NF, dimensional (star/snowflake), and hybrid approaches.
- Proven track record with MPP, relational, and NoSQL technologies such as Snowflake, BigQuery, Hive, Hadoop, Cassandra, and SQL Server.
- Strong command of SQL, data definition language (DDL), and scripting for model generation and transformation.
- Experience leading data modeling initiatives in globally distributed, multi‑disciplinary teams.
- Excellent communication and stakeholder‑management skills, with the ability to translate complex technical concepts into business value.
Preferred Qualifications
- Advanced degree (Master’s or Ph.D.) in Data Engineering, Computer Science, or a related discipline.
- Hands‑on experience with cloud data platforms (AWS, GCP, Azure) and modern data‑pipeline orchestration tools (Airflow, dbt, Dagster).
- Background in retail, supply‑chain, e‑commerce, or healthcare data domains.
- Familiarity with data‑mesh, data‑fabric, and data‑catalog solutions.
- Professional certifications such as SnowPro Core, Google Professional Data Engineer, or AWS Certified Big Data – Specialty.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex business problems and design data structures that enable actionable insights.
- Technical Acumen: Mastery of data modeling tools (Erwin, PowerDesigner, dbt), version control (Git), and CI/CD pipelines for data assets.
- Collaboration: Proven success working with cross‑functional teams, fostering a culture of shared ownership and continuous learning.
- Adaptability: Comfortable navigating fast‑changing priorities, emerging technologies, and evolving business strategies.
- Leadership: Demonstrated ability to mentor, coach, and inspire junior talent while driving high‑impact projects to completion.
Career Growth & Learning Opportunities
At hirevault, your career trajectory is limited only by your ambition. As a Senior Data Modeler you will:
- Gain exposure to one of the world’s largest retail data ecosystems, handling petabytes of transactional, behavioral, and sensor data.
- Lead high‑visibility projects that directly influence product strategy, supply‑chain efficiency, and customer experience.
- Access a robust learning platform offering certifications, workshops, and mentorship programs in cloud architecture, AI/ML, and advanced analytics.
- Transition into roles such as Data Architecture Lead, Head of Data Engineering, or Director of Analytics, depending on your interests and performance.
- Participate in internal hackathons, innovation labs, and cross‑business collaborations that encourage creative problem‑solving.
Work Environment & Culture
hirevault embraces a hybrid‑first work model. While the position is fully remote, we provide optional coworking space allowances and quarterly in‑person gatherings at our innovation hubs. Our culture is built on:
- Inclusivity: A diverse workforce where every voice is heard and respected.
- Purpose‑Driven Innovation: Projects are aligned with our mission to improve the lives of millions of shoppers.
- Transparency: Open communication channels, regular town‑halls, and clear career pathways.
- Well‑Being: Comprehensive mental‑health resources, flexible schedules, and generous paid time off.
Compensation, Perks & Benefits
hirevault offers a competitive total‑reward package designed to attract and retain top talent:
- Base salary commensurate with experience (industry‑leading range for senior data professionals).
- Annual performance bonuses and incentive awards.
- Equity participation through stock purchase plans.
- 401(k) matching contributions.
- Comprehensive health, dental, and vision coverage.
- Generous parental leave, adoption assistance, and family‑friendly policies.
- Professional development stipend, tuition reimbursement, and certification support.
- Remote‑work allowance for home office setup, high‑speed internet, and ergonomic equipment.
Application Process
Ready to shape the future of retail data? Follow these steps to apply:
- Prepare an up‑to‑date resume highlighting your data modeling achievements, technology stack expertise, and leadership experience.
- Attach a concise cover letter that explains why hirevault’s mission resonates with you and how your background aligns with the role.
- Gather supporting documents: academic transcripts, certifications, and a professional reference list.
- Submit your application through our secure career portal (link provided below). You will receive an automated confirmation upon receipt.
- If shortlisted, you will be invited to a series of interviews: a technical deep‑dive, a culture‑fit discussion, and a final conversation with senior leadership.
Join hirevault Today
At hirevault, your work will have a tangible impact on millions of customers worldwide. If you are a data‑modeling visionary with a passion for turning massive data sets into strategic advantage, we want to hear from you. Apply now and become a catalyst for the next wave of retail transformation.
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