9 дней назад
Manager, Data Engineering
90 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data Engineering (Data Governance/Taxonomy): Leading the design and delivery of product specifications, taxonomy, and schema solutions for Walmart's global catalog with an accent on data quality, governance, and scalable data structures. Focus on translating complex business requirements into actionable specifications, managing data transformations across systems and markets, and driving validation, testing, and release best practices.
Location: 601 Respect Dr, Bentonville, AR 72716, United States; office-based role
Salary: $90,000–$180,000 annually, plus performance-based bonuses and possible stock compensation.
Company
Walmart's central Catalog organization manages global taxonomy and product specifications that support its retail catalog across markets.
What you will do
- Lead the design, development, and delivery of product specifications aligned with business and customer needs.
- Partner with business and technical stakeholders to define requirements and develop scalable solutions.
- Manage the structure, transformation, and implementation of taxonomy and specification data across systems and markets.
- Establish governance standards for data quality, consistency, compliance, and responsible data use.
- Drive best practices for specification design, validation, testing, documentation, and release management.
- Identify opportunities to simplify processes, improve schema quality, and strengthen the catalog experience.
Requirements
- Experience with complex data structures, product information, taxonomy, specifications, or catalog-related domains.
- Proficiency in SQL and ability to analyze large or complex datasets.
- Strong understanding of data quality, schema management, and data governance principles.
- Ability to translate business requirements into clear specifications, data structures, and scalable solutions.
- Experience managing cross-functional initiatives using agile ways of working.
- Strong analytical, problem-solving, and stakeholder collaboration skills.
Nice to have
- Background in data engineering, database engineering, business intelligence, or business analytics.
- Experience with ETL tools and large datasets in the cloud.
- Master's degree in Computer Science or a related field and three years of software engineering experience.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Medical, vision, and dental coverage.
- 401(k), stock purchase opportunities, company-paid life insurance, and disability coverage.
- Paid time off, sick leave, parental leave, family care leave, and other leave programs.
- Company discounts and adoption and surrogacy expense reimbursement.
- Walmart-paid education benefits covering tuition, books, and fees for eligible programs.
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