Data Architect

Burlington Coat Factory Whse. Corp.; United States; On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Associate discount

Flexible hours

Medical, dental, and vision coverage

Life and disability insurance

401(k) plan

Job summary

Burlington Stores, Inc. is seeking a data architecture lead to design and govern enterprise data architectures across multiple domains.

You will collaborate with cross-functional teams to define data models, pipelines, metadata, and integrations, and mentor junior architects to grow their skills. The role emphasizes scalable, secure architectures with governance compliance and opportunities to work with Snowflake, Azure, Databricks, and cloud-based platforms.

Qualifications

• Bachelor’s degree or higher in CS/IS or related field.
• 7+ years in enterprise data architecture and design.
• Strong knowledge of data modeling, integration, and governance.
• Excellent analytical and problem-solving skills.

Responsibilities

• Lead end-to-end data architecture design and governance.
• Define integration patterns and system interoperability.
• Mentor junior architects and guide best practices.
• Collaborate with cross-functional teams on requirements.
• Advise AI/ML teams on semantic modeling and feature stores.
• Review artifacts with developers, testers, and security teams.

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

TOGAF Certification preferred

Tools

Snowflake

Azure

Oracle PL/SQL

Databricks

Google Cloud Platform

SQL

Python

Shell

PySpark

Job description

Position Overview

Burlington is seeking a self-driven and highly motivated individual to join a dynamic team with a passion for data, software, and engineering. At Burlington you will have the opportunity to work with the latest technologies in a goal-oriented environment. As an IT architect, you will define and govern the enterprise-wide data architecture, ensuring that data models, pipelines, metadata, and integrations are scalable, interoperable. You will collaborate with cross-functional teams to gather and analyze requirements, develop detailed data architectural designs, and ensure the integration of systems and technologies. Additionally, you will mentor junior architects, assist in their professional growth, and participate in the continuous improvement of data architectural practices.

A Day in the Life

This role is essential for the delivery of robust and scalable data architecture solutions for Enterprise-wide project and platforms.

Lead the design and implementation of end-to-end data architecture.

Design end-to-end data architecture to support analytics, AI, ML and operational systems.

Create and maintain conceptual, logical, and physical data models across business domains.

Establish data modeling standards, naming conventions, lineage rules, and metadata frameworks.

Ensure solutions are scalable, secure, and maintainable.

Collaborate with cross-functional teams to gather and analyze requirements.

Collaborate with Engineering and Architecture to define integration patterns and system interoperability.

Ensure alignment with governance, security, privacy, and regulatory requirements.

Advise AI and ML teams on semantic modeling, feature store design, and future knowledge graph adoption.

Create high-level and low-level data model diagrams and documentation.

Define system components, data flow, APIs, and service interactions.

Review and validate architecture and design artifacts with developers, testers, and security teams.

Mentor junior architects and assist in their professional growth.

Provide guidance on architectural methods, tools, and standards.

Support data architecture related skill development through coaching, training, and shadowing.

Promote a culture of continuous learning and knowledge sharing.

Participate in the continuous improvement of architectural practices.

Contributes to the evolution of data architecture standards and governance.

Identify and propose improvements to design methodologies and processes.

Evaluate emerging technologies and assess their potential adoption.

You'll Come With Education:

Bachelor’s degree in Computer Science, Information Systems, or related field.

Licenses/Certification/Registration:

TOGAF Certification preferred.

Experience:

7+ years of experience in architecture. Strong knowledge of architectural design techniques and tools. Proficiency in system integration and technology alignment. Excellent analytical and debugging skills.

Skills and Abilities:

Leads the creation and review of a systems capability strategy aligned with business requirements. Develops roadmaps for enterprise data architecture and initiatives, ensuring stakeholder buy-in. Develops enterprise-wide data architecture and processes to embed strategic change management within the organization. Leads the development of data architectures in Enterprise Data and Analytics projects with domains focused but not limited to Merchandising, Supply Chain, Store Operations, Marketing & Strategy, Finance and Inventory Controls. Provides data architecture reviews and guidance and governance on solution development and integration. Evaluates requests for changes and deviations from specifications and recommends actions. Supports the communication of strategic plans and related change initiatives to relevant stakeholders. Contributes to the collection and analysis of information to support strategy development. Designs system components using appropriate modelling techniques following agreed data architecture design standards, patterns and methodology. Manages and facilitates the communication and open flow of creative ideas between interested parties and the set-up of innovation networks and communities. Develops and adapts innovation tools, processes and infrastructures to drive the process of innovation. Identifies resources and capabilities needed to support innovation. Strong oral, written, and presentation skills and the ability to communicate complex ideas in simple ways to all levels of the organization. Creative and flexible mindset to planning and problem-solving, ability to lean into the details while maintaining the “big picture.”

Preferred experience in architecting with various platforms and tools, such as Snowflake, Azure, , Oracle Pl/SQL, Databricks, and Google Cloud Platform. Scripting experience with SQL, python, Shell, PySpark - preferred #LI-BS1.

Benefits:

You will enjoy competitive wages, flexible hours, and an associate discount.

Burlington’s benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan.

We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us.

Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day.

Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.

Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.

Compensation Range: $95,000.00 - $125,000.00