STAFF, DATA ENGINEER
Walmart · Posted Nov 3
Retail, e-commerce, grocery, pharmacy, and membership warehouse services
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About the role
Walmart Global Tech's data organization manages and delivers world-class data assets — creating and maintaining data standards, driving policy compliance, building partnerships, and developing pipelines and self-service tools so the business can leverage data to fuel growth. The work centers on large-scale, distributed data platforms built with Scala, Apache Spark, and Hadoop on Google Cloud Platform. This Staff Data Engineer role leads the design and architecture of those platforms, oversees batch and real-time pipeline development, and manages and mentors a team of data engineers while partnering with senior stakeholders on data strategy.
What you will do
- Lead the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP).
- Define and implement data engineering best practices, including data modeling, pipeline orchestration, and data governance.
- Architect solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems.
- Ensure alignment to enterprise data strategy, including data products, SSoT, and platform standardization.
- Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks.
- Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
- Ensure high code quality, performance optimization, and scalability across data systems.
- Oversee production stability, incident management, and continuous improvement initiatives.
- Manage and mentor a high-performing team of data engineers, fostering a culture of ownership, innovation, and technical excellence.
- Drive talent development, performance management, and succession planning.
- Promote a collaborative environment across cross-functional teams including Product, Architecture, and Business stakeholders.
- Partner with senior leadership to translate business priorities into data engineering roadmaps.
- Lead discussions with stakeholders on architecture decisions, trade-offs, and technology adoption.
- Drive platform modernization initiatives, migration strategies, and cloud adoption programs.
- Demonstrate an agentic approach—proactively identifying gaps, removing blockers, and driving measurable outcomes.
- Leverage automation, AI-driven workflows, and intelligent data pipelines to enhance efficiency and scalability.
- Champion data-driven decision-making and continuous innovation within the organization.
Skills used in this role
What the employer is looking for
- 10+ years of experience in Data Engineering, Big Data, or related domains.
- Strong hands-on expertise in:
- Scala and Apache Spark
- Big Data technologies (Hadoop ecosystem, distributed computing frameworks)
- Deep experience with Google Cloud Platform (GCP):
- BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow)
- Proven track record in designing and architecting large-scale data platforms.
- Strong experience in data modeling, ETL/ELT frameworks, and pipeline orchestration.
- Demonstrated experience in leading and managing engineering teams.
- Experience with data product architecture and data monetization use cases.
- Knowledge of real-time streaming technologies (Kafka, Pub/Sub, etc.).
- Exposure to multi-cloud or hybrid cloud environments.
- Familiarity with data governance, security, and compliance frameworks.
- Experience in retail, e-commerce, or large-scale enterprise data platforms.
- Strong system design and problem-solving skills
- Strategic thinking with execution excellence
- Excellent stakeholder communication and leadership presence
- High degree of ownership, accountability, and proactiveness (agent mindset)
- Scalable and performant data platforms delivered on GCP
- Strong engineering culture with high-quality, reliable data pipelines
- Effective team growth and retention
- Measurable improvements in data availability, cost efficiency, and time-to-insight
Benefits and support
- Incentive awards for performance
- Maternity and parental leave
- Paid time off (PTO)
- Health benefits
About Walmart
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. As one of the world's largest companies by revenue, it serves millions of customers daily through physical stores and robust e-commerce platforms. The company is driven by a commitment to everyday low prices and an expanding suite of digital and convenience-focused services.
- Industry
- Retail
- Company size
- 2000000+ employees
- Founded
- 1962
- Location
- Bentonville, Arkansas, USA
- Funding stage
- Public Company
Leadership
President and CEO
Executive Vice President and Chief Financial Officer
Executive Vice President, Global Chief Technology Officer and Chief Development Officer
Executive Vice President and Chief Growth Officer
President and CEO, Walmart U.S.
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