We are looking for a Principal, Data Architect to add to our Sam's Club Technology team. If you enjoy working in a rapidly changing environment and influencing the strategic direction of a large global organization, this position will provide you with a challenging opportunity.
You’ll sweep us off our feet if you:
Data Source Identification:
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.
Understand, articulate, interpret, and apply the principles of the defined strategy to unique, moderately complex business problems that may span one or main functions or domains.
Analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause.
Identify and recommend approach to resolve the business problem.
Set data analytics, big data analytics, automation goals, and deliverables
based on the established success criteria and define key metrics to measure progress and effectiveness of the solution.
Quantify business impact.
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 input to the architectural design to make best use of the available resources, given goals, and expected loads.
Applied Business Acumen:
Evaluate proposed business cases for projects and initiatives.
Influence business stakeholder decision making.
Translate business requirements into strategies, initiatives, and projects and align them to business strategy and objectives and drive the execution of deliverables.
Build and articulate the business case and return on investment and deliver work that has demonstrable value.
Challenge business assumptions on topics related to one's domain expertise.
Develop new organization-wide processes and ways of working.
Teach and guide others on best practices.
Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
Data Quality Management:
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.
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.
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 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.
Drive 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.
Promote and support 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.
Ensure 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.
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
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