Position Summary...
What you'll do...
This position is responsible for the operation of a department. An individual in this position will be expected to perform additional job related
responsibilities and duties as assigned and/or necessary.
Essential Functions
An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.
Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for
example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate
how the method would solve the business problem.
Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for
projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to
overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new
processes and ways of working.
Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in
partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance
processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or
guidelines.
Data Source Identification: Understands the priority order of requirements and service level agreements. Defines and identifies the most suitable
sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data.
Reviews the deliverables of junior associates and provides guidance.
Data Transformation and Integration: Builds the infrastructure required for optimal transformation and integration from a wide variety of data sources
using appropriate data integration technologies. Uses modern tools, techniques, and architectures to partially or completely automate the mostcommon,
repeatable and tedious data preparation and integration tasks. Deploys pipelines using scheduling and orchestration frameworks. Evaluates
impacts of data issues and risks at an early stage. Identifies needs and creates methods to fuse and reshape complex, multi-source data and make it
usable for modeling. Updates knowledge of current and emerging big data analytics and data science trends and techniques.
Code Development and Testing: Reviews the solution and application design to ensure it meets business, technical, and data requirements. Identifies
language and libraries to use in the development process. Maps test cases to business and functional requirements. Creates proof of concepts.
Reviews and troubleshoots code in line with final designs. Identifies and recommends the appropriate testing methodology. Identifies the
environment(s) for deployment. Identifies and recommends modifications of application based on different environment requirements. Identifies
modifications needed for scalability and drives the change. Monitors applications in production and leads development of patches where required.
Reviews and ensures all code documentation is complete and updated periodically. Review work of Junior associates in the team.
Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business
problems that may span one or main functions or domains.
Data Modeling: Assembles large, complex data across all data platforms (for example, relational, dimensional, NoSQL) and data tools . Builds
complex logical and conceptual models and provides guidance to team on physical data models. Identifies and defines the appropriate techniques for
exposing data to other systems . Reviews and provides guidance and inputs on all data modeling activities to team members. Creates and maintains
critical data documentation and metadata that allows data to be understood and leveraged as a shared asset. Assists in defining data modeling
standards and foundational best practices. Provides inputs to the architectural design to make best use of the available resources, given goals, and
expected loads.
Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business
plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring
progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work
environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching
for success and improvement; and ensuring diversity awareness.
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to
others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business
partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness;
and participating in and supporting community outreach events.
Competencies
An individual must be proficient in each of the competencies listed below to successfully perform the responsibilities of this position.
Problem Formulation - Analytics, big data analytics, and/or automation techniques and methods. Business requirements and insights that the
business is seeking. Precedence and use cases.
Applied Business Acumen - Related industry and environmental factors (for example, market fluctuations, changes in regulatory policies or politics,
emerging technology, cultural practices). Multiple approaches to business models, practices, processes, and guidelines. Less common and more
specialized business vernacular. Business practices across two or more domains such as finance, marketing, sales, technology, business systems,
and human resources and in-depth knowledge of related practices. Directly relevant business metrics and business areas.
Data Source Identification - Functional business domain and scenarios. Categories of data and where it is held. Business data requirements.
Database technologies and distributed datastores (e.g. SQL, NoSQL). Data Quality. Existing business systems and processes, including the key
drivers and measures of success.
Data Transformation and Integration - Internal and external data sources including how they are collected, where and how they are stored, and
interrelationships, both within and external to the organization. Techniques like ETL batch processing, streaming ingestion, scrapers, API and
crawlers. Data warehousing service for structured and semi-structured data, or to MPP databases such as Snowflake, Microsoft Azure, Presto or
Google BigQuery. Pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate
methods. Techniques such as decision trees, advanced regression techniques such as LASSO methods, random forests etc. Cloud and big data
environments like EDO2 systems.
Data Modeling - Cloud data strategy, data warehouse, data lake, and enterprise big data platforms. Data modeling techniques and tools (e.g.,
Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. Database programming languages SQL / NoSQL. Flow of data through
the different systems. Tools supporting automated data loads. AI- enabled metadata management tools and techniques.
Code Development and Testing - Coding languages like SQL, Java, C++, R, Python and others. Testing methods such as static, dynamic, software
composition analysis, manual penetration testing and others. Business, domain understanding.
Data Governance - Data modeling, storage, integration, and warehousing. Data value chains (identification, ingestion, processing, storage, analysis,
and utilization). Data quality framework and metrics. Regulatory and ethical requirements around data privacy, security, storage, retention, and
documentation. Business implications on data usage.
Data Strategy - Appropriate application and understanding of data ecosystem, including Data Management, Data Quality Standards and Data
Governance, Accessibility, Storage and Scalability, etc. Deep understanding of the business value of data and data enabled insights and decisions.
Judgment: Make Informed Judgments - Uses relevant business metrics, analyses, and reports to measure, monitor, and improve performance.
Identifies and applies sound, fact-based criteria in setting priorities and making decisions. Looks beyond symptoms to determine the root causes of
problems, and identify and implement applicable solutions. Integrates knowledge and expertise in making fact-based recommendations and
decisions.
Customer/Member Centered: Ensure Customer/Member Centered Performance - Analyzes data and information, and develops plans to exceed
customer/member expectations. Sponsors initiatives and practices that provide customers/members with desired products, services, and experiences
and that grow the business. Ensures customers/members receive the level of service that builds their trust and confidence. Removes barriers to
delivering customer/member value, service, and support.
Execution and Results: Ensure Execution and Achieve Results - Conveys a sense of urgency in ways that motivate others to complete responsibilities
and achieve goals. Pursues the achievement and alignment of measurable and meaningful goals. Leverages resources and talent to achieve
business goals. Ensures others are held accountable for achieving expected results. Prioritizes and balances time, actions, and projects to ensure
accomplishment of results. Monitors progress of others and redirects efforts when goals change or results are not met.
Planning and Improvement: Ensure Planning and Improvement - Sets clear expectations, performance measures, and goals, and helps others do the
same. Plans for and ensures others have the information, resources, implementation time, and talent needed to accomplish business initiatives.
Identifies and plans for improvement in performance using key business metrics.
Influence and Communicate: Build and Influence Team - Develops and communicates logical, convincing reasons, including lessons learned, to build
support for one's viewpoints and actions. Involves others in decisions and plans that affect them, when appropriate. Recognizes and rewards team
accomplishments, celebrating team and organizational success. Ensures business priorities, change initiatives, and organizational information are
communicated in clear and compelling ways. Promotes the exchange of diverse experiences and ideas within own organization.
Ethics and Compliance: Ensure Ethics and Compliance - Actively communicates, trains, and guides associates on compliance with policies and
procedures. Maintains an environment that promotes and reinforces the highest standards of integrity and ethics. Anticipates potential issues and
takes action to enhance compliance.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00-$286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 5 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.