Principal, Data Engineer

Wal-Mart Stores, Inc.
Bentonville, AR, United States
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Data Architecture Information Engineering Extract Transform Load (ETL) Distributed Data Store Executive Information Systems Python (Programming Language) Operational Data Store Cloud Services SQL Databases Data Streaming
+6 more
Apache Spark Build Management Apache Kafka Data Management Marketplace Data Pipelines

Job description

Experteer Overview In this role you will define the data architecture and technical strategy for Walmart’s Marketplace Operational Intelligence platform. You will design scalable data pipelines, models, and analytics to deliver engineering insights, executive scorecards, and AI-ready datasets supporting thousands of engineers. You will lead cross-functional collaboration to establish a trusted data source of truth and drive data quality, governance, and platform scalability. This is a hands-on, leadership-focused position that shapes operational intelligence to improve reliability, productivity, and decision-making. Compensation / Benefits * Define the architecture and technical strategy for Marketplace’s Operational Intelligence platform * Design and build scalable data pipelines, data models, and analytics platforms for engineering insights and executive dashboards * Partner with engineering and platform teams to standardize operational data and establish a source of truth for metrics * Drive data quality, governance, and platform scalability while enabling AI-driven analytics and automation * Mentor engineers and provide technical leadership across data engineering initiatives Tasks * Experience designing and building large-scale cloud data platforms and distributed data pipelines * Strong expertise in data modeling, data architecture, ETL/ELT, streaming data, and modern analytics platforms * Proficiency with cloud-native data technologies, SQL, Python, Spark, Kafka, or similar distributed data frameworks * Proven ability to define technical strategy and influence engineering organizations through data architecture and leadership * Experience building operational analytics, engineering metrics, executive dashboards, or AI-ready data platforms * Strong communication skills to translate complex data challenges into scalable solutions Key requirements * Health benefits (medical, vision, dental) * 401(k) and stock purchase * company-paid life insurance * PTO including sick leave and parental leave * military leave, adoption and surrogacy support * disability benefits

Requirements

is * Drive data quality, governance, and platform scalability while enabling AI-driven analytics and automation * Mentor engineers and provide technical leadership across data engineering initiatives Tasks * Experience designing and building large-scale cloud data platforms and distributed data pipelines * Strong expertise in data modeling, data architecture, ETL/ELT, streaming data, and modern analytics platforms * Proficiency with cloud-native data technologies, SQL, Python, Spark, Kafka, or similar distributed data frameworks * Proven ability to define technical strategy and influence engineering organizations through data architecture and leadership * Experience building operational analytics, engineering metrics, executive dashboards, or AI-ready data platforms * Strong communication skills to translate complex data challenges into scalable solutions Key requirements * Health benefits (medical, vision, dental) * 401(k) and stock purchase * company-paid life insurance * PTO including sick leave and parental leave * military leave, adoption and surrogacy support * disability benefits

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on us.experteer.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:06 min

Joining a new marketplace with a distributed engineering team

John Bettiol · WWC 2022

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:37 min

Configuring strict marketplace taxonomy requirements via massive spreadsheet architectures

John Bettiol · WWC 2022

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all