Position Summary...

The Senior Director of Data Engineering for Walmart Data Ventures is a strategic leadership role responsible for steering a global team to build and maintain cutting-edge data products, specifically the customer-centric Walmart Luminate suite. This role will oversee the Data Ventures Core Platform, Data Ventures Platform services (DV Foundation Services, DV QE) and Data Customer and Analytics Data Foundations Services (DCA DFS will include DV l2 as part of optimization to operate at scale).
As the Senior Director, you will spearhead the global engineering vision for Walmart Data Ventures, leading a high-performing, distributed team in delivering best-in-class, scalable data products in Walmart Luminate suite of products, while driving a culture of operational excellence, startup agility, and strategic value realization to transform the retail ecosystem.

What you'll do...

About Team:

The Data & Customer analytics team in US Omni and Platform tech is dedicated to analyzing customer data, leveraging insights to inform business decisions, and driving improvements in customer experiences across Walmart's retail operations, utilizing advanced data science techniques and tools to understand customer behavior and trends at scale.

Walmart Data Ventures operates with the agility of a nimble startup, dedicated to creating the best-in-class suite of Data Products. Walmart Luminate is the first product, which has been created to deliver actionable, customer-centric insights, empowering Retail suppliers and Walmart merchants make data-driven decisions in a smarter, faster, and collaborative

Functioning within a startup-like environment, this leader drives the complete engineering charter—from establishing DevOps/SRE best practices to managing end-to-end development of scalable Big Data and microservices architectures—while collaborating with cross-functional partners to solve complex business problems. The position requires a technically strong executive with over 15 years of experience in data integration and infrastructure who can translate business needs into analytical solutions and mentor a high-performing, geographically distributed engineering team.

What you'll do:

• Provides overall direction by:
  • Analyzing business objectives and customer needs
  • Developing, communicating, building support for, and implementing business strategies, plans, and practices
  • Analyzing costs and forecasts and incorporating them into business plans
  • Determining and supporting resource requirements
  • Evaluating operational processes and measuring outcomes to ensure desired results
  • Identifying and capitalizing on improvement opportunities
  • Promoting a customer-focused environment
  • Demonstrating adaptability and sponsoring continuous learning
• Develops and implements workforce strategies to attract and maintain a highly skilled and engaged workforce by:
  • Diagnosing capability gaps
  • Recruiting, selecting, and developing talent
  • Supporting mentorship, workforce development, and succession planning
  • Leveraging the capabilities of new and existing talent
• Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by:
  • Integrating integrity and ethics into all programs and practices
  • Developing consequences for violations or non-compliance
  • Supporting the Open Door Policy
• Develops and leverages internal and external partnerships and networks to maximize achievement of business goals by:
  • Sponsoring and leading key community outreach and involvement initiatives
  • Engaging key stakeholders in the development, execution, and evaluation of business plans and initiatives
  • Supporting associate efforts in these areas

Core Functional Responsibilities

Tech Problem Formulation

• Requires knowledge of:
  • Analytics, big data analytics, automation techniques and methods
  • Business understanding, precedence and use cases
  • Business requirements and insights
• Responsibilities:
  • Analyze business problems within one’s discipline and question assumptions to identify root causes
  • Identify and recommend approaches to resolve business problems and create effective technology-focused solutions
  • Set relevant deliverables based on established success criteria
  • Define key metrics to measure progress and solution effectiveness
  • Quantify business impact

Understanding Business Context

• Requires knowledge of:
  • Industry and environmental factors
  • Common business vernacular
  • Business practices across two or more domains (e.g., product, finance, marketing, sales, technology, business systems, HR) and in-depth knowledge of related practices
  • Directly relevant business metrics and business areas
• Responsibilities:
  • Evaluate proposed business cases for projects and initiatives
  • Translate business requirements into strategies, initiatives, and projects; align to business strategy and objectives; drive execution of deliverables
  • Build and articulate business cases and return on investment; deliver work with demonstrable value
  • Challenge business assumptions related to one’s domain expertise
  • Mentor team members on new business insights and allied developments
  • Proactively engage with the external community to build Walmart’s brand and learn industry practices

Data Source Identification

• Requires knowledge of:
  • Functional business domain and scenarios
  • Categories of data and where data is held
  • Business data requirements
  • Database technologies and distributed datastores (e.g., SQL, NoSQL)
  • Data quality
  • Existing business systems and processes, including key drivers and measures of success
• Responsibilities:
  • Define data requirements for various model types
  • Direct usage of appropriate internal and external data sources based on business and model requirements (e.g., database types, recommended data structures)
  • Define data quality guidelines and align data governance

Data Transformation and Integration

• Requires knowledge of:
  • Internal and external data sources, data collection methods, storage, and interrelationships
  • ETL, batch processing, streaming ingestion, scrapers, APIs, crawlers
  • Data warehousing for structured/semi-structured data; MPP databases (e.g., Snowflake, Microsoft Azure, Presto, Google BigQuery)
  • Preprocessing techniques (transformation, integration, normalization, feature extraction)
  • Techniques such as decision trees, advanced regression (e.g., LASSO), random forests, etc.
  • Cloud and big data environments (e.g., EDO2 systems)
• Responsibilities:
  • Build infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources using appropriate integration technologies
  • Assess and drive improvements in data pipeline performance

Data Modeling

• Requires knowledge of:
  • Cloud data strategy, data warehouse, data lake, and enterprise big data platforms
  • Data modeling techniques and tools (e.g., dimensional design/scalability, ER diagrams, Erwin)
  • Query languages (SQL/NoSQL)
  • Data flows through different systems
  • Tools supporting automated data loads
  • AI-enabled metadata management tools and techniques
• Responsibilities:
  • Influence the overarching data strategy and vision for data pipelines and data products
  • Oversee and govern expansion of existing data architecture and optimization of data query performance via best practices
  • Maintain the enterprise data model
  • Improve, automate, and optimize existing data models
  • Identify and recommend opportunities to reuse existing data models in new environments
  • Present and socialize data models to business and IT stakeholders
  • Participate in enterprise data warehouse initiatives

Code Development and Testing

• Requires knowledge of:
  • Coding languages (e.g., SQL, Java, C, Python, others)
  • Testing methods (e.g., static, dynamic, software composition analysis, manual penetration testing, others)
  • Business domain understanding
• Responsibilities:
  • Review interlinkages, overlaps, and gaps in solutions and applications
  • Recommend applications/solutions to drive synergies and efficiencies across workflows
  • Review business-critical solutions, applications, and test cases
  • Recommend adoption of emerging coding languages and models, and best practices for testing methodologies

Data Governance

• Requires knowledge of:
  • Data value chains; data processes and practices
  • Regulatory and ethical requirements around data
  • Data modeling, storage, integration, and warehousing
  • Data quality frameworks and metrics
  • Privacy, security, storage, retention, and documentation requirements
  • Business implications of data usage
  • Enterprise policies and strategies for regulatory and ethical compliance
• Responsibilities:
  • Establish, modify, and document data governance strategies and initiatives
  • Guide business stakeholders, peers, and junior associates in implementing data governance practices
  • Help business leaders understand and interpret company and regulatory policies around data
  • Determine data governance processes, practices, policies, and guidelines
  • Drive adoption of organizational data utilization
  • Educate others on roles and responsibilities related to data governance

Data Strategy

• Requires knowledge of:
  • Business value and relevance of data and data-enabled insights/decisions
  • Data ecosystem including data management, data quality standards, data governance, accessibility, storage, scalability, etc.
  • Methods and applications that unlock monetary value of data assets
• Responsibilities:
  • Understand, articulate, interpret, and apply principles of the defined strategy to complex business problems
  • Leverage experiences and learnings to inform and influence data strategy spanning one or more functions or domains

Leadership Expectations (Walmart Values)

Respect the Individual

• Build high-performing teams; seek and embrace differences in people, cultures, ideas, and experiences
• Create a workplace where associates feel seen, supported, and connected through a culture of belonging
• Drive a positive associate and customer/member experience for all
• Create discipline and focus on developing talent through feedback, coaching, mentoring, and development opportunities
• Build the talent pipeline and foster an environment where everyone can bring their best selves to work
• Empower associates and partners to act in the best interest of the customer and company
• Regularly recognize contributions and accomplishments
• Support strategies and drive initiatives that attract and retain top talent
• Build strong, trusting relationships; work collaboratively and cross-functionally
• Communicate and listen attentively with energy and positivity to motivate, influence, and inspire commitment and action

Act with Integrity

• Maintain and promote the highest standards of integrity, ethics, and compliance
• Model Walmart values and lead by example to foster culture
• Support Walmart’s regenerative company goals by advancing opportunity, sustainability, community, and integrity
• Ensure teams follow the law, Code of Conduct, and company policies
• Promote an environment where associates feel comfortable raising concerns
• Model non-retaliation, listen to concerns, take action, and enable others to do the same
• Hold self and teams accountable for achieving results consistent with values
• Act as an altruistic servant leader; remain humble and self-aware

Serve Our Customers and Members

• Deliver expected business results while putting the customer/member first
• Apply an omni-merchant mindset and an Every Day Low Cost mindset to drive value and Every Day Low Prices
• Adopt a holistic perspective that considers data analytics, customer/member insights, and multiple parts of the business in planning and execution

Strive for Excellence

• Raise the bar and continuously improve; demonstrate curiosity and a growth mindset
• Seek feedback, ask thoughtful questions, and foster an environment that supports learning and innovation
• Learn from mistakes, take intelligent risks, and demonstrate resilience in setbacks
• Drive continuous improvements; supervise adoption of new technology and support digital disruption aligned with Walmart’s business model

What you'll bring:

• Good academic record and graduated (B.Tech/ M.Tech) from a reputed institution
• Bachelors with 17-22 years of experience OR Masters with 15-20 years of experience in building data integration solutions involving Big Data technologies.
• 10+ years of experience in building and scaling infrastructure systems, establishing DevOps practices, building SRE teams and supporting mission critical applications.
• A strong understanding of data and reporting engines, data modelling and warehousing, and data transformations and pipelines for supporting real time and batch-oriented events processing.
• Experience with relational databases (Oracle / My SQL), non-relational databases (Cassandra, HBase) and Big data technologies like Hadoop, Spark
• Experience in building end-to-end data products (DaaS) using latest technologies and architecture (like microservices architecture).
• Experience with distributed real time / micro batch computation systems such as Spark
• Experience in the eCommerce domain will be a huge positive

Our Ideal Candidate

• We are looking for a technically strong Senior Director, with a proven background in building and leading a high performing technology team that builds scalable data solutions using the latest technologies. The role is designed to be a mix of team leadership and active collaboration with business leadership.

About Walmart Global Tech
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 experts 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.

Benefits

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.

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

Belonging

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.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 7 years' experience in software engineering or related field. Option 2: 9 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 5 years' experience in software engineering or related field. 6 years' experience in data engineering, database engineering, business intelligence, or business analytics. 3 years' 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 ROAD KADUBEESANAHALLI, , India