Principal Data Architect Remote

From Aisle to Algorithm and for All Life’s Moments, at David’s Bridal, we empower our customers and our employees to stay true to their dreams and find the one, whether that means the event or the wedding dress that matches a personal style—or the career that is a perfect fit. Join a company that dominates the products in their category – 1 out of 3 being sold by them and taking care of them with one of the highest customer service scores in retail!

If you are passionately enthusiastic, endlessly curious, and customer obsessed, and are intested in a remote role, preferred EST of CST, say “I do” and apply today!

The Principal Data Architect will lead the design, modernization, and long-term strategy of our enterprise data ecosystem. This role is both strategic and hands-on — ideal for someone who can architect large-scale solutions while actively contributing to modeling, integrations and implementation.

You will shape a modern data foundation supporting commerce, operations, customer experience, analytics, personalization, and executive decision enablement across the organization.

Key Responsibilities

• Define and own the enterprise data architecture roadmap, ensuring scalability, maintainability, and alignment with business strategy.
• Design and implement sophisticated data models supporting commerce, customer lifecycle, finance, supply chain, inventory, and digital transformation initiatives.
• Build and optimize secure data pipelines integrating Shopify and multiple enterprise systems into a unified Snowflake and SQL Server environment.
• Lead standards for data governance, privacy, lineage, cataloging, quality, and master data management.
• Drive best practices for Power BI semantic models, architecture, and performance governance across business functions.
• Provide architectural oversight for ELT frameworks, automation, and orchestration tools (dbt, Airflow, Matillion, Fivetran, etc.).
• Partner with engineering, data, product, and business teams to translate requirements into scalable, future-proof solutions.
• Mentor internal data engineering teams and influence leadership on data strategy and platform investment decisions.
• Serve as the senior technical authority for data architecture across the organization.

Core Requirements

• 7–10+ years experience in enterprise data engineering, architecture, or platform ownership roles.
• Proven expertise in:
  • Snowflake (design, security, cost management, workload optimization)
  • SQL Server (schema design, tuning, stored procedures, indexing)
• Advanced SQL capability with demonstrated experience optimizing large, complex, high volume workloads.
• Strong experience implementing and supporting Power BI enterprise deployments (governance, semantic layer design, modeling patterns).
• Hands-on experience with modern ELT tooling and orchestration (dbt, Airflow, Fivetran, Stitch, Matillion, Databricks, etc.).
• Demonstrated eCommerce data experience, ideally including Shopify — understanding of order lifecycle, OMS, payments, fulfillment, customer segmentation, and attribution.
• Experience building scalable architecture frameworks aligned to business intelligence, operational reporting, and AI/ML readiness.

Preferred Experience

• Retail or multi-channel commerce experience (stores + eCommerce).
• API experience (REST / GraphQL) and complex system integrations.
• Knowledge of compliance and governance: SOC2, GDPR, CCPA, PCI-DSS.
• Python experience for workflow automation or integration scripting.

Preferred Characteristics

• A senior technical leader who is both visionary and execution-minded.
• Able to influence at executive level while guiding implementation details.
• Practical and business-oriented — not just an architect on paper.
• Thrives in transforming legacy data landscapes into modern, scalable platforms.

Now that we’ve popped the question, please say “I do”.

Full Time Opportunity – A comprehensive benefits package is available.

• Rewarding Environment and Competitive Pay
• Generous Dream Maker Discount After First Pay Period
• Referral Incentive Program
• Dayforce Wallet – Get Paid Early!
• Health/Dental/Vision Insurance
• 401K Program
• Paid Vacation, Wellness Days & Holidays, including your Birthday off!
• Pet Benefits

Love wins when love is for Everyone!

Our mission at David’s Bridal is to embrace the ideas of Diversity, Equity, and Inclusion. It is our goal to build a workforce that is as representative as the customers we serve. We vow to create a culture where all forms of diversity are celebrated and seen as valuable.

David’s Bridal encourages applications from all qualified candidates. David’s Bridal has a great record of accommodating persons with disabilities. Contact Human Resources at [email protected] or 610.943.5048 if you need accommodation at any stage of the application process or want more information on our accommodation policies.

Policy: Candidate Use of AI in Live Interviews

We conduct interviews to evaluate each candidate’s own knowledge, judgment, and communication. During any live interview (virtual or in-person), candidates must not use real-time generative AI tools to compose or feed their answers. Candidates may use assistive technologies (e.g., screen readers, live captions) and may request reasonable accommodation in advance.

Disclaimer: The preceding job description has been designed to highlight the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive description of all duties, responsibilities and qualifications required of employees assigned to this job. Actual duties and responsibilities will vary. The standard base pay range for this role is posted at a minimum and maximum rate.

The starting rate of pay offered will vary based on factors including, but not limited to, position offered, location, training, and/or experience, and internal equity. This base pay range is specific to the state this role is posted in and may not be applicable to other locations. At David’s Bridal, it is rare for an individual to be hired at the high end of the range in their role, but instead closer to the midpoint of the posted range, and compensation decisions are dependent upon the details and circumstances of each position and candidate.