Principal, Data Architect

Position Summary...

What you'll do...

Data Source Identification: Requires knowledge of 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. To understand the priority order of requirements and service level agreements. Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required. Perform initial data quality checks on the extracted data. Review the deliverables of junior associates and provides guidance on data source and quality Data Architecture: Requires knowledge of data ecosystem and integration blueprints including transactional database systems, data warehouse, business intelligence, and analytics systems; Data warehousing, data architecture, data profiling, data integration, ETL, and database design tools and techniques; Physical, Conceptual and Logical data modeling (relational and dimensional); Technological standards and best practices within modeling processes; Data Architecture standards, processes, and methodologies (for example, data manipulating processes, database technology generating processes); Cloud data warehouses, infrastructure, and services (for example, Redshift, Azure, BigQuery, Snowflake); Open-Source Big Data Technologies (for example, Hadoop, Kafka, NoSQL Databases). To diagnose the rationality and reliability of conceptual, logical, and physical layers. Select criteria used to support data processing operations, data flow, and the flow control system. Troubleshoot connections between information architecture, information systems, data architecture, and data delivery systems. Assist with data planning, sourcing, collection, and transformation. Test the effectiveness of the database before release for business use. Design data schemes, object models, and flow diagrams to structure, store, process and integrate data. Help maintain the integrity and security of the database. Provide architectural assessments, strategies, and roadmaps for+G6 data management. Develop proof-of-concept to validate new architectures and solutions. Examine and identifies database structural necessities by evaluating client operations, applications, and programming. Improve system performance by conducting tests, troubleshooting, and integrating new elements. Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques. To assemble large, complex data across all data platforms (for example, relational, dimensional, NoSQL) and data tools. Build complex logical and conceptual models and provides guidance to team on physical data models. Identify and define the appropriate techniques for exposing data to other systems. Review and provide guidance and inputs on all data modeling activities to team members. Create and maintain critical data documentation and metadata that allows data to be understood and leveraged as a shared asset. Assist in defining data modeling standards and foundational best practices. Provide inputs to the architectural design to make best use of the available resources, given goals, and expected loads. Understanding Business Context: Requires knowledge of industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices. Tech. Problem Formulation: Requires knowledge of analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause. Identifies and recommends approach to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact. 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 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; Enterprise regulatory and ethical policies and strategies. To establish, modify, and document data governance strategies and initiatives. Provide guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices. Help business leaders understand and interpret company and regulatory policies around data. Determine data governance processes, practices, policies, and guidelines. Drive the successful adoption of organizational data utilization. Educate others on roles and accountability for data management. Actively participate in external communities to grow and develop deeper understanding of political and regulatory changes that may happen from a data perspective. Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Data Quality Management: Requires knowledge of data quality management techniques and standards; Business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To develop and evangelize data quality awareness. Determine data quality strategy, metrics, and business rules for a business domain to ensure that data is fit for purpose. Set and evaluate business domain data quality service level strategy. Design and implement operational Data Quality Management (DQM) procedures. Monitor operational DQM procedures and performance. Lead data quality initiatives to deliver increased business performance and effectiveness. Determine user accessibility and removes or restricts user access as needed. Provide recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines. 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 costeffectiveness; and participating in and supporting community outreach events. Live our ValuesCulture Champion- Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership- Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage- Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change- Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus- Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking- Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our AssociatesDiversity, Equity & Inclusion- Identifies, attracts, and retains diverse and inclusive team members; builds a high-performing team; embraces diversity in all its forms; and actively supports diversity goal programs.Collaboration & Influence- Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.Talent Management- Creates a discipline and focus around developing talent, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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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.

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For information about PTO, see ~~~ .

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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.

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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.

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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include

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• Stock

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Minimum Qualifications...

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 or related field and 5 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Option 2: 7 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Option 3: Master's degree in Computer Science and 3 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data architecture/software architecture/data modeling, Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.), Solution Architecture, 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.

Primary Location...

860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

Walmart, Inc. is an Equal Opportunity 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 diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.