Group Director – Software Engineering

Walmart

. Functionally own Big Data, Analytics Data Services and Data Warehousing services .

Posted 10/4/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Big Data, Analytics, and Data Warehousing services, with a focus on building and optimizing data lake infrastructure and driving engineering excellence. Proven ability to develop and mentor high-performing engineering teams while ensuring operational integrity and compliance.

Highest-signal resume keywords

Big Data Strategy DevelopmentData Lake Infrastructure ManagementTeam Leadership and MentorshipOperational Risk MitigationCost Optimization and Performance Tuning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData Lake ExperienceBigQuerySparkHadoopIcebergHudiHiveRangerOKR Management

Soft Skills

Team BuildingMentorshipStakeholder Relationship ManagementCommunity OutreachTraining and Development

Tools & Technologies

Google CloudAzurePrivate CloudsAnalytics Data ServicesData Warehousing Services

Industry Keywords

Data IntegrationEngineering VisionClosed-Loop System DesignOperational MetricsBusiness Continuity

Tech Stack

Tools & technologies

AzureBigQueryHadoopSpark

About the role

Key responsibilities & impact

Functionally own Big Data, Analytics Data Services and Data Warehousing services
Lead the Data Services team in Bangalore for Walmart’s Big Data, Analytics and Data Warehousing services
Define and scale technology platforms powering Walmart’s data lake, warehouse and analytics services
Set long-term engineering vision and platform strategy for Big Data processing
Drive GenAI-native products, engineering excellence, data integration, measurement infrastructure and closed-loop system design
Build and operate exabyte-scale data lake infrastructure across Google, Azure and private clouds
Leverage and optimize BigQuery, Trino and other data warehousing services
Oversee large-scale projects, complex programs, solutions, contingency plans, budgets and expenditures
Develop strategies to attract, retain and develop engineering teams, including mentorship, development and succession planning
Establish operational metrics for availability, infrastructure cost, utilization and security
Develop multi-year plans for performance, profit and loss, customer experience, LRP planning and budgeting
Drive learning and training initiatives
Ensure integrity, ethics, compliance and support for the Open Door Policy
Build stakeholder relationships, support community outreach and execute business solutions
Identify and mitigate operational risks to ensure business continuity and consistent quality

Requirements

What you’ll need

Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 8 years’ experience in software engineering or related area; alternatively, 10 years’ experience in software engineering or related area
5 years’ supervisory experience
Data lake experience with Spark, Hadoop, Iceberg, Hudi, Hive, Ranger and related service deployments at scale
Experience operating large-scale services with high availability and low costs
Ability to build strong engineering teams with big data experience
Ability to drive complex OKRs and programs
Ability to drive cost optimizations with infrastructure and application performance tuning
Ability to drive long-term Big Data strategies enabling next-generation AI-driven applications
Ability to mentor and grow teams

Benefits

Comp & perks

Incentive awards for performance
Maternity and parental leave
PTO
Health benefits
Flexible work arrangements for managing personal lives