Senior Enterprise Data Architect & Analytics Leader

Ross Stores; Dublin (CA); Hybrid; USD 134,000 - 229,000; Full time

Job summary

Ross Stores is seeking a highly motivated Solution Architect to define, design, and govern enterprise-scale data solutions that power analytics, BI, and AI-driven decision making.

This senior role partners with IT leadership, Data Engineering, and Analytics teams to translate complex business needs into scalable, vendor-agnostic data architectures, ensuring interoperability, security, and long-term value across the company's data landscape.

Qualifications

• Minimum 7 years of experience in Data Architecture, Solution Architecture and/or software engineering roles.
• Extensive experience architecting enterprise-scale data solutions across modern cloud and hybrid data platforms.
• Deep understanding of data architecture patterns including analytical data stores, ELT/ETL frameworks, transformation pipelines, and semantic modeling.
• Hands-on working knowledge of Snowflake, dbt, Alation, Streamsets, MicroStrategy, Power BI and related modern Data Technologies, including how these tools integrate into enterprise data ecosystems.
• Strong understanding of FinOps principles with proven experience in Snowflake cost management, usage governance, and consumption optimization.
• Proven experience enabling BI, reporting, and advanced analytics capabilities across large organizations
• Ability to design flexible, future-ready architectures that remain adaptable as tools, vendors, and technologies evolve
• Working knowledge of AI/ML data requirements and the architectural components needed to support advanced analytics, feature engineering, and model operations
• Strong communication and leadership skills with the ability to influence senior technical leaders, business stakeholders, and cross-functional teams.

Responsibilities

• Define and own enterprise data architecture principles and standards that are independent of specific vendors or platforms.
• Design end-to-end data solutions that support analytical, operational, and advanced analytics use cases.
• Establish architectural patterns for data ingestion, storage, transformation, modeling, and consumption.
• Evaluate emerging technologies and guide platform choices based on business fit, scalability, sustainability and cost.
• Act as a trusted advisor to IT and Business leadership on data strategy, modernization, and investment decisions.
• Lead architecture reviews and provide direction on complex, cross-domain data initiatives.
• Mentor architects, engineers, and analytics practitioners on modern, vendor-agnostic data architecture practices.
• Influence enterprise alignment through architectural guidance rather than direct authority.
• Identify and shape AI and advanced analytics use cases, such as forecasting, optimization, anomaly detection, and decision intelligence.
• Ensure data architectures support AI/ML needs, including feature readiness, experimentation, and scalable consumption.
• Partner with Data Science and Analytics teams to align data foundations with evolving analytical and AI capabilities.
• Advise leadership on architectural readiness for emerging AI enabled applications without locking into specific platforms.
• Define integration patterns for ingesting data from diverse internal and external sources.
• Support batch and near real time processing scenarios through flexible architectural designs.
• Establish expectations for data quality, observability, resilience, and lifecycle management.
• Promote loosely coupled architectures that support change and growth.
• Promote documentation, standards, and shared accountability for data quality.

Skills

Data Architecture

Solution Architecture

Leadership

Communication

Cloud & Hybrid Data Platforms

BI & Analytics Enablement

Education

Bachelor’s degree in information systems, computer science, or related field

Tools

Snowflake

dbt

Alation

Streamsets

MicroStrategy

Power BI

Job description

Ross Stores is seeking a highly motivated Solution Architect to define, design, and govern enterprise-scale data solutions that power analytics, BI, and AI-driven decision making.

This senior role partners with IT leadership, Data Engineering, and Analytics teams to translate complex business needs into scalable, vendor-agnostic data architectures, ensuring interoperability, security, and long-term value across the company's data landscape.