below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$149,500–$200,950
— the blue band above.
At the midpoint, this role pays about
$182k
versus about
$175k
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
724 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 593 roles with salary data.
The (USA) Senior Manager, Software Engineering leads the Data Platform Operations team to drive operational excellence across the Datalake and Data Platform ecosystem. This role focuses on DevOps practices, security, cloud cost optimization, deployment reliability, and AI-enabled optimization. You will manage the team to improve data security, governance, and access provisioning while implementing Infrastructure-as-Code using Terraform. Daily responsibilities include overseeing maintenance, scaling, and automation of operational workflows, as well as mentoring engineers and guiding architectural decisions. The role requires hands-on experience with Databricks, Snowflake, Apache Spark, Airflow, Kafka, Delta Lake, and Iceberg within GCP-based environments. You will solve complex problems regarding distributed systems, IAM, RBAC, and compliance to ensure a secure, scalable, and efficient data platform that supports business-critical data processes.
What does a Software Engineering Manager earn?
Median $215650 from 128 postings across 37 companies.
Lead the Data Platform Operations team to drive operational strategy for the Data Lake and related services.
Implement Infrastructure-as-Code using Terraform and automation to streamline platform operations.
Improve cloud cost efficiency by tuning storage, compute, and networking resources.
Enhance data security and governance by improving access provisioning and compliance standards.
Apply SRE practices to standardize deployments and improve platform resilience and monitoring.
Integrate AI-driven optimization techniques to improve overall system performance.
Mentor engineers and guide architectural decisions through rigorous testing and code reviews.
What we're looking for
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 5 years’ experience in software engineering or related area.
Option 2: 7 years’ experience in software engineering or related area and 2 years’ supervisory experience.
Proven leadership managing software, platform, or data ops teams in complex environments.
Deep understanding of large-scale data platforms, data lakes, and distributed systems.
Hands-on experience with Databricks, Snowflake, Apache Spark, Airflow, Kafka, Delta Lake, Iceberg, or similar technologies.
Strong expertise in GCP-based data platform operations; Azure experience is a plus (preferred).
In-depth knowledge of IAM, data security, governance, compliance, and audit requirements.
Experience in cost optimization across storage, compute, and tooling.
Familiarity with SRE principles, automation, monitoring, and incident management.
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area (preferred).
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies (preferred).
Java
J2EE
Spring
JVM
SQL
Relational Databases
AI/ML
DevOps
CI/CD
RESTful Web Services
Service Oriented Architecture
Distributed Systems
Platform Engineering
Algorithms
Data Structures
WCAG) 2.2 AA