Walmart Canada · 1 hour ago
Staff, Data Engineer
Walmart Canada is seeking a Staff Data Engineer to drive critical business initiatives with data. The role involves setting the technical vision for scalable data platforms, leading cross-team strategies, and mentoring senior engineers while championing a data-first culture.
DeliveryRetailShopping
Responsibilities
Set the technical vision and architecture for scalable, intelligent data platforms that power millions of Sam’s Club customers and enable Agentic AI systems to reason, plan, and act autonomously
Own end-to-end data architecture for agent-aware systems, ensuring data is discoverable, semantically rich, trustworthy, and optimized for LLMs, co-pilots, and multi-agent workflows
Lead cross-team technical strategy by partnering with Engineering, AI/ML, Product, and Platform teams to align data roadmaps with long-term autonomous decision-making goals
Influence product direction by working closely with Product Management and Business stakeholders to define high-impact data products that unlock intelligent automation, recommendations, and self-optimizing systems
Design foundational capabilities that unify structured, semi-structured, and unstructured data into context-aware representations consumable by AI agents and knowledge systems
Establish best practices and standards for agent-ready data modeling, semantic layers, metadata management, and knowledge graph design across the organization
Drive operational excellence by defining and implementing observability, telemetry, lineage, and auditability patterns tailored for data used in autonomous and regulated AI workflows
Mentor and technically lead senior engineers, providing architectural guidance, design reviews, and hands-on support on complex, high-risk initiatives
Lead full-lifecycle, multi-quarter initiatives, balancing near-term delivery with long-term platform scalability and adaptability for evolving AI paradigms
Champion a data-first, AI-forward culture, proactively identifying opportunities to modernize legacy systems and accelerate innovation in intelligent automation
Qualification
Required
Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field
6 years' experience in software engineering or related field
Master's degree in Computer Science and 2 years' experience in software engineering or related field
3 years' experience in data engineering, database engineering, business intelligence, or business analytics
7–10+ years of experience in data engineering, building and operating large-scale, distributed, fault-tolerant data platforms
Deep expertise in cloud-native data ecosystems (GCP or Azure preferred), including services such as BigQuery, Dataflow, Pub/Sub, or equivalent, with experience shaping platform-level decisions
Proven track record of designing data architectures that scale across multiple teams and use cases, including batch, streaming, and hybrid systems
Strong understanding of agent-consumable data patterns, including semantic modeling, embeddings, knowledge graphs, and context enrichment strategies
Expert-level skills in data modeling and system design, with the ability to reason about how schema, latency, and storage choices impact retrieval quality and AI reasoning
Hands-on experience or strong familiarity with LLM-enabled systems, including prompt orchestration, retrieval-augmented generation (RAG), or agent frameworks (e.g., LangChain, LlamaIndex, CrewAI)
Advanced knowledge of data governance and trust frameworks, including quality, access control, lineage, and compliance—especially for AI auditability
Fluency in Python, Java, or Scala, with a strong engineering mindset around testability, maintainability, and performance; deep experience with Spark/PySpark
Expert SQL skills and experience optimizing analytical workloads across massive datasets
Strong systems thinking and technical leadership, with the ability to influence without authority and drive alignment across organizational boundaries
Experience with real-time and analytical tooling such as Kafka, Spark Streaming, Druid, Presto, and how they fit into modern data and AI architectures
Preferred
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 4 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, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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 company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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.
Funding
Current Stage
Late StageRecent News
Canada NewsWire
2025-12-18
Canada NewsWire
2025-12-03
Company data provided by crunchbase