Senior Manager, Data Engineering

Walmart

Senior Manager in Data Engineering overseeing scalable data platforms and team management at Walmart. Driving best practices and innovation in data ecosystems.

Posted 7/30/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and architecting scalable data platforms on Google Cloud, utilizing Big Data technologies and modern ETL/ELT frameworks. Proven leadership in managing data engineering teams and driving data governance and compliance initiatives.

Highest-signal resume keywords

Google Cloud Platform (GCP)Apache SparkScalaData ModelingETL/ELT Frameworks

ATS Keywords

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Hard Skills

Data EngineeringBig DataPipeline OrchestrationData GovernanceBatch ProcessingReal-Time ProcessingDistributed SystemsSystem DesignProblem-SolvingData Product Architecture

Soft Skills

LeadershipStrategic ThinkingStakeholder CommunicationOwnershipAccountability

Tools & Technologies

BigQueryDataflowDataprocPub/SubCloud StorageComposer (Airflow)Kafka

Industry Keywords

RetailE-CommerceEnterprise Data PlatformsData MonetizationCompliance Frameworks

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformHadoopKafkaScalaSpark

About the role

Key responsibilities & impact

Lead the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP)
Define and implement data engineering best practices, including data modeling, pipeline orchestration, and data governance
Architect solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems
Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks
Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage
Ensure high code quality, performance optimization, and scalability across data systems
Oversee production stability, incident management, and continuous improvement initiatives
Manage and mentor a high-performing team of data engineers, fostering a culture of ownership, innovation, and technical excellence
Drive talent development, performance management, and succession planning
Partner with senior leadership to translate business priorities into data engineering roadmaps

Requirements

What you’ll need

10+ years of experience in Data Engineering, Big Data, or related domains
Strong hands-on expertise in Scala and Apache Spark
Big Data technologies (Hadoop ecosystem, distributed computing frameworks)
Deep experience with Google Cloud Platform (GCP) : BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow)
Proven track record in designing and architecting large-scale data platforms
Strong experience in data modeling, ETL/ELT frameworks, and pipeline orchestration
Demonstrated experience in leading and managing engineering teams
Experience with data product architecture and data monetization use cases
Knowledge of real-time streaming technologies (Kafka, Pub/Sub, etc.)
Exposure to multi-cloud or hybrid cloud environments
Familiarity with data governance, security, and compliance frameworks
Experience in retail, e-commerce, or large-scale enterprise data platforms
Strong system design and problem-solving skills
Strategic thinking with execution excellence
Excellent stakeholder communication and leadership presence
High degree of ownership, accountability, and proactiveness (agent mindset)

Benefits

Comp & perks

maternity and parental leave
PTO
health benefits
incentive awards for performance
best-in-class benefits