Solution Architect II

Solution Architect II

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• Req. Number: 26005215
• Posted Date: 7/2/2026
• Address: 5130 Hacienda Dr
• City, State: Dublin, CA
• Postal Code: 94568

Our values start with our people, join a team that values you!

Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience.

As part of our team, you will experience:

• Success. Our winning team pursues excellence while learning and evolving
• Career growth. We develop industry leading talent because Ross grows when our people grow
• Teamwork. We work together to solve the hard problems and find the right solution
• Our commitment to Diversity, Equality & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community.

Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2025 revenues of $22.8 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

GENERAL PURPOSE:

We are seeking a highly motivated and visionary Solution Architect to serve as a senior

technical leader responsible for defining, designing, and governing enterprise-scale data

solutions that power analytics, business intelligence, and AI-driven decision-making. This role

focuses on building durable, scalable, and adaptable data architectures that support today''s

requirements while providing a foundation for future technologies and business growth.

Operating at both strategic and enterprise levels, the Solution Architect partners closely with IT

leadership, Data Engineering teams, and Business Analytics/Information functions to translate

complex business needs into flexible data architectures-ensuring long-term value,

interoperability, and extensibility across evolving platforms and tools.

The base salary range for this role is $134,300 - $229,400. The base salary range is

dependent on factors including, but not limited to, experience, skills, qualifications,

relevant education, certifications, seniority, and location. The range listed is just one

component of the total compensation package for employees. Other rewards vary by

position and location.

ESSENTIAL FUNCTIONS:

Enterprise Data Architecture & Strategy

• 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.

Leadership & Influence

• 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.

Data Transformation, Modeling & Analytics Enablement

• Architect analytics-ready data pipelines using modern transform-centric data approaches

(e.g., ELT).

• Define enterprise data models and semantic abstractions that can be reused across

analytics and reporting tools.

• Enable both standardized reporting and self-service analytics across multiple BI and

visualization platforms.

• Ensure analytical solutions remain portable, maintainable, and not tightly coupled to a

single toolset.

Data Integration & Lifecycle Design

• 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.

AI & Advanced Analytics Readiness

• 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.

Data Platform, Governance, Metadata & Trust

• Partner with Data Governance teams to implement enterprise metadata management, data

lineage, and stewardship processes.

• Ensure architectures support discoverability, ownership, and trust in enterprise data

assets.

• Align data solutions with security, privacy, and compliance requirements across

regulatory environments.

• Promote documentation, standards, and shared accountability for data quality.

COMPETENCIES:

People

• Building Effective Teams
• Developing Talent
• Collaboration

Self

• Leading by Example
• Communicates Effectively
• Ensures Accountability and Execution
• Manages Conflict

Business

• Business Acumen
• Plans, Aligns and Prioritizes
• Organizational Agility

With particular emphasis on the following specific position-related competencies:

• Technology Strategy & Innovation
• Stakeholder Engagement
• Data Architecture and Engineering
• Drive for Results

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:

• Bachelor''s degree in information systems, computer science, or a related technical

discipline. Master''s degree is a plus.

• 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.

PHYSICAL REQUIREMENTS/ADA:

Job requires ability to work in an office environment, primarily on a computer.

Requires sitting, standing, walking, hearing, talking on the telephone, attending in-person

meetings, typing, and working with paper/files, etc.

Consistent timeliness and regular attendance.

Vision requirements: Ability to see information in print and/or electronically.

This role requires regular in-office presence, including to engage in in-person team interaction,

meetings and collaboration, mentoring, coaching, and/or feedback. However, this role can

perform duties effectively using a combination of in-office and remote work. #LI-Hybrid

SUPERVISORY RESPONSIBILITIES:

N/A

DISCLAIMER:

This job description is a summary of the primary duties and responsibilities of the job and position.

It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities.

Contents are subject to change at management''s discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or

promotion according to their skills, abilities and experience. We believe that it is an essential part

of the Company''s overall commitment to attract, hire and develop a strong, talented and diverse

workforce. Ross is committed to complying with all applicable laws prohibiting discrimination

based on race, color, religious creed, age, national origin, ancestry, physical, mental or

developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical

conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital

or registered domestic partnership status, medical condition (including cancer or genetic

characteristics), genetic information, gender, gender identity, gender expression, sexual

orientation, as well as any other category protected by federal, state or local laws.

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Director, IT

5130 Hacienda Dr

Dublin,

CA

Director, IT

5130 Hacienda Dr

Dublin,

CA

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5130 Hacienda Dr

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