Walmart Canada · 10 hours ago
(USA) Senior Manager, Data Engineering - Catalog
Bentonville, AR
Full-time
Onsite
Mid, Senior Level
$110K/yr - $220K/yr
7+ years expWalmart Inc. is a leading retail company, and they are seeking a Senior Manager, Data Engineering to own the design and evolution of product data models. This role involves managing data integrity and operationalizing data models across systems to enhance scalability and downstream impact.
DeliveryRetailShopping
Responsibilities
Own product data models end to end: Design and evolve schemas, classification structures, attribute frameworks, and modifier models that support item setup, enrichment, and downstream consumption
Work hands-on with data: Query and analyze large datasets to validate models, test assumptions, identify edge cases, and assess the impact of proposed changes using SQL, BigQuery, Python, or similar tools
Design for scale and reuse: Build data models intended to serve many consumers with differing needs, rather than one-off solutions optimized for a single team or use case
Think in systems and flows: Understand how product data moves through ingestion pipelines, storage layers, APIs, and analytical environments, and design models that hold up across that lifecycle
Own modeling and schema trade-offs: Make and document decisions that balance semantic correctness, backward compatibility, operational complexity, and speed of delivery
Evaluate and approve modeling solutions: Serve as a senior reviewer and sign-off point for schema and data model proposals, ensuring long-term integrity and consistency
Translate ambiguity into durable structure: Turn unclear or competing business needs into clear data models and classification logic grounded in real data behavior
Enable automation and intelligence: Design models that support rules engines, ML-driven classification, and derived attributes rather than manual intervention
Drive data quality and simplification: Use analysis to identify fragmentation, duplication, and legacy debt, and lead efforts to normalize and improve product data at scale
Act as a platform steward: Treat the data model as a product, with clear contracts, stability expectations, and consideration for downstream consumers
Lead and develop technical talent: Manage and mentor a team of data engineers and analysts, setting expectations for strong data fluency, systems thinking, and ownership
Represent data model integrity: Serve as a senior voice in schema and platform decisions, ensuring alignment between business intent, taxonomy frameworks, and technical feasibility
Qualification
Required
Bachelor's degree in Computer Science and 5 years' experience in software engineering or related field
7 years' experience in software engineering or related field
Master's degree in Computer Science and 3 years' experience in software engineering or related field
4 years' experience in data engineering, database engineering, business intelligence, or business analytics
1 year's supervisory experience
7+ years of experience in data engineering, data modeling, data architecture, or a related technical discipline
Strong experience querying and analyzing large datasets using SQL and analytical platforms such as BigQuery
Working knowledge of Python or similar languages for data analysis, validation, or prototyping
Experience partnering with product managers, engineers, and data scientists on complex, data-driven systems
Proven ability to lead teams through system modernization or large-scale data transformations
Sound judgment around modeling trade-offs, scalability, and long-term maintainability
Preferred
Experience with product catalogs, classification systems, schema-driven platforms, or ML-enabled data systems
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud
Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture
Benefits
Health benefits include medical, vision and dental coverage.
Financial benefits include 401(k), stock purchase and company-paid life insurance.
Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
Company
Walmart Canada
Walmart Canada is a subsidiary of Walmart that operates a chain of more than 400 stores nationwide. It is a sub-organization of Walmart.
10001+ employees
Funding
Current Stage
Late StageRecent News
Canada NewsWire
2025-12-18
Canada NewsWire
2025-12-03
Company data provided by crunchbase