Group Director, Data Architecture/ Engineering

Walmart

Quick summary

Work type
On-site
Location
Sunnyvale, CABentonville, AR
Salary
$254,000–$481,000 / yr
Posted
14 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $368k
$109k most similar roles pay here $521k

This role pays more than 99% of similar roles. Most pay $151,569–$223,812 — the shaded band above. At the midpoint, this role pays about $368k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 189 open roles on FindRole.

Listed pay typically runs $110,000–$220,000 across 181 roles with salary data.

Most-posted roles

View all roles at Walmart

At a glance

TL;DR · Group Director, Data Architecture/ Engineering

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As the Group Director of Data Engineering for Global Data Foundations at Walmart Global Tech, you will lead a distributed team of data engineers in developing cutting-edge data products that drive business growth and customer-centric initiatives. Your responsibilities include driving best practices across multiple markets, coordinating with various retail value chain teams to realize business value, and managing end-to-end development of data products using traditional RDBMS and big data platforms. You will also establish platform best practices, implement data quality frameworks, and engage globally in setting priorities for the team. The ideal candidate has over 15 years of experience in building data integration solutions with expertise in Big Data technologies like Hadoop and Spark, as well as relational and non-relational databases. Strong leadership skills and a background in retail or supply chain are highly valued.

Skills

Oracle MySQL Cassandra HBase Hadoop Spark DevOps Microservices Docker Kubernetes CI/CD Python Java SQL BigQuery Snowflake PostgreSQL Terraform AWS Azure GCP Git Jenkins

What you'll do

  • Drive the development of data engineering best practices to solve enterprise-wide problems.
  • Develop a consistent framework for identifying and prioritizing high-value use cases across multiple markets.
  • Lead the end-to-end creation of data products using traditional RDBMS and big data platforms.
  • Manage a team of data engineers to build and support real-time event and batch data processing platforms.
  • Implement and enforce data quality frameworks and compliance with governance policies.

What we're looking for

  • 15+ years of experience in building data integration and platform solutions involving Big Data technologies.
  • Strong understanding of data platforms, data modeling, warehousing, transformations, and pipelines for real-time and batch processing.
  • Experience leading large distributed teams in data engineering operations for end-user applications.
  • Proficiency with relational databases (Oracle/MySQL) and non-relational databases (Cassandra, HBase).
  • Expertise in building end-to-end data products using microservices architecture and DevOps practices.

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