Company

Retail

SrStaffDataArchitect

Dallas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Staff Data Architect. Skills: Retail Big Data Modeling, Data Modeling, Architecture, Supply chain optimization, Customer loyalty programs, Customer journey analysis, Analytics reporting, Machine learning feature development, Data accuracy, Data consistency, Data accessibility, Scalable data solutions, Efficient data solutions. Designing and implementing robust data models. Design and develop conceptual, logical, and physical data models for various domains, including supply chain, customer, p”

What You'll Achieve.

Empower our organization to make informed decisions and achieve strategic objectives

Industry & Context.

Retail

What They're Looking For.

Must Have

Proven expertise in designing and implementing data models for supply chain, customer loyalty, customer journey, and analytics reporting, understanding of dimensional modeling, star schema, snowflake schema, and other data warehousing concepts, Experience with NoSQL databases and big data technologies (e. g. , Hadoop, Spark), Proficiency in SQL, knowledge of machine learning concepts and applications, Solid understanding of data governance, security, privacy, and compliance standards, Experience working in agile project environments

Nice to Have

Mentoring and guiding junior data modelers, Experience with agile development methodologies

What You'll Do.

Designing and implementing robust data models

Design and develop conceptual

and physical data models for various domains

including supply chain

Lead the development of data modeling standards

Develop end-to-end solution architectures for data-driven and AI-focused applications

Design data models to support enterprise and operational reporting

Collaborate with data scientists to develop features for machine learning models

Optimize data models for performance and scalability

Ensure data models comply with data governance policies and standards

Identify and define data quality checks and validation processes

Implement data quality monitoring and reporting mechanisms

Collaborate with data stewards to resolve data quality issues

How You'll Work.

Team & Collaboration

Work closely with cross-functional teams, including data engineers, data scientists, business analysts, and stakeholders; Collaborate with data scientists to develop features for machine learning models; Collaborate with data stewards to resolve data quality issues

Communication Scope

Exceptional communication; presentation; stakeholder management skills

Full Job Description

## About the Role We are seeking an experienced Retail Big Data Modeling Architect to join our Data Modeling & Architecture team. As a key member of this team, you will be designing and implementing robust data models that support our critical business functions, including supply chain optimization, customer loyalty programs, customer journey analysis, analytics reporting, and feature development for machine learning. You will work closely with cross-functional teams, including data engineers, data scientists, business analysts, and stakeholders, to ensure data accuracy, consistency, and accessibility. Your expertise will drive the development of scalable and efficient data solutions that empower our organization to make informed decisions and achieve strategic objectives ## What You'll Do * Design and develop conceptual, logical, and physical data models for various domains, including supply chain, customer, product, sales, and financial data. * Lead the development of data modeling standards, best practices, and guidelines. Develop end-to-end solution architectures for data-driven and AI-focused applications, ensuring alignment with business objectives and technology strategy * Mentor and guide junior data modelers, providing technical expertise and fostering their professional growth. * Design data models to support enterprise and operational reporting, enabling data-driven decision-making. * Collaborate with data scientists to develop features for machine learning models, ensuring data quality and accessibility. * Optimize data models for performance and scalability, supporting real-time analytics and reporting. * Ensure data models comply with data governance policies and standards. Identify and define data quality checks and validation processes to maintain data integrity. * Implement data quality monitoring and reporting mechanisms. Collaborate with data stewards to resolve data quality issues. ## Who You Are * Proven expertise in designing and implementing d

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