Lead Data Platform Engineer – AI-Ready Data Lake

Walmart

Denver (CO)

On-site

USD 121,000 - 242,000

Full time

7 days ago
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Benefits offered by this job

Health benefits
401(k) plan
Stock purchase program
Paid time off

Job summary

Walmart is seeking a Principal Software (Data) Engineer to lead the evolution of our Data Lake and enterprise data platform. You will architect and implement scalable, reliable data systems, partner with teams across engineering, product, analytics, ML, and infra, and drive AI-enabled data enablement for productivity and operations.

You will design and operate pipelines, event streaming apps, and large-scale platforms for analytics and AI-driven experiences, while mentoring teams and shaping

Qualifications

  • Bachelor's degree in computer science, computer engineering, or related field with 5 years’ software engineering experience.
  • 7 years’ experience in software engineering or related area.

Responsibilities

  • Lead large, cross-functional engineering projects from requirements gathering through design and delivery.
  • Provide technical leadership, collaboration, and clear communication across teams.
  • Conduct design and code reviews to ensure quality and architectural alignment.
  • Design scalable, high-availability data platforms.
  • Mentor others and drive continuous improvement.
  • Work in cloud-native environments.
  • Build AI-ready, discoverable data foundations.

Skills

Python
PySpark
SQL
NoSQL
ETL/ELT design
Data pipelines
AWS
GCP
Databricks
Snowflake
Spark
Kafka
Airflow
Data governance
Data observability
AI-ready data foundations

Education

Bachelor's degree in computer science or related field
Master's degree in computer science or related field

Tools

Databricks
Snowflake
AWS

Job description

Walmart is seeking a Principal Software (Data) Engineer to lead the evolution of our Data Lake and enterprise data platform. You will architect and implement scalable, reliable data systems, partner with teams across engineering, product, analytics, ML, and infra, and drive AI-enabled data enablement for productivity and operations.

You will design and operate pipelines, event streaming apps, and large-scale platforms for analytics and AI-driven experiences, while mentoring teams and shaping

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