SENIOR MANAGER, DATA ENGINEERING
Walmart Global Tech
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Benefits offered by this job
Job summary
Walmart Global Tech in Bengaluru, India, seeks a seasoned Data Engineer to lead the design and delivery of scalable data platforms on GCP, focusing on data modeling, pipelines, and governance. You will drive architecture decisions and establish best practices across Spark, Hadoop, BigQuery, Dataflow, and other GCP services.
You’ll mentor a high‑performing team, partner with Product and Architecture, and steer modernization and cost‑efficiency initiatives while delivering reliable data products
Qualifications
- 12+ years of experience in Data Engineering, Big Data, or related domains.
- Strong hands-on expertise in Scala and Apache Spark.
- 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.
Responsibilities
- Lead the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP).
- Drive end-to-end data pipeline development using Spark and modern ETL/ELT frameworks.
- Mentor and manage engineering teams; ensure production stability and incident management.
Skills
Education
Tools
Job description
Our organization focuses on managing and delivering world‑class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self‑service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
Our organization focuses on managing and delivering world‑class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self‑service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.
- Technical Leadership & Architecture
- 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.
- Ensure alignment to enterprise data strategy, including data products, SSoT, and platform standardization.
- Engineering & Delivery
- 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.
- Team Leadership & People Management
- 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.
- Promote a collaborative environment across cross‑functional teams including Product, Architecture, and Business stakeholders.
- Strategy & Stakeholder Engagement
- Partner with senior leadership to translate business priorities into data engineering roadmaps.
- Lead discussions with stakeholders on architecture decisions, trade‑offs, and technology adoption.
- Drive platform modernization initiatives, migration strategies, and cloud adoption programs.
- Agent Mindset & Innovation
- Demonstrate an agentic approach—proactively identifying gaps, removing blockers, and driving measurable outcomes.
- Leverage automation, AI‑driven workflows, and intelligent data pipelines to enhance efficiency and scalability.
- Champion data‑driven decision‑making and continuous innovation within the organization.
- 12+ 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)
- Scalable and performant data platforms delivered on GCP
- Strong engineering culture with high‑quality, reliable data pipelines
- Effective team growth and retention
- Measurable improvements in data availability, cost efficiency, and time‑to‑insight.
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people‑led and tech‑empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best‑in‑class benefits maternity and parental leave, PTO, health benefits, and much more.
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is \"everyone included.\" By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
- Option 1: Bachelor's degree in Computer Science and 5 years' experience in software engineering or related field.
- Option 2: 7 years' experience in software engineering or related field.
- Option 3: Master's degree in Computer Science and 3 years' experience in software engineering or related field.
- 4 years' experience in data engineering, database engineering, business intelligence, or business analytics.
- 1 year's supervisory experience.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
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