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Aritzia

Women's fashion retailer selling in-house brands

Enterprise Data Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeVancouver, BC, CanadaIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or Data Management, or equivalent experience; a master's degree is preferred.
  • At least 15 years of progressive experience across enterprise data, analytics, data platforms, enterprise architecture, or data engineering leadership, including significant experience in principal or lead architecture roles.
  • Deep expertise defining enterprise data strategy, target-state architecture, standards, reference architectures, and multi-year roadmaps across complex, multi-domain environments.
  • Hands-on architecture experience with modern public cloud data ecosystems across Google Cloud Platform, Amazon Web Services, or Azure, and platforms such as BigQuery, Snowflake, Databricks, Redshift, Azure Synapse, or Microsoft Fabric, or equivalent.
  • Strong experience architecting lakehouse, warehouse, streaming, orchestration, semantic, business intelligence, and machine learning/artificial intelligence consumption patterns, with a focus on scalability, reliability, governance, observability, and cost-to-serve.
  • Strong information architecture and data modeling experience across conceptual, logical, and physical layers, including canonical models, semantic layers, metrics layers, dimensional modeling, data contracts, and domain data products.
  • Proven experience establishing enterprise data governance capabilities, including ownership, stewardship, metadata, glossary, catalog, lineage, quality, classification, privacy, retention, and lifecycle management.
  • Experience building or enabling federated data product operating models, Data Mesh principles, domain ownership, reusable data templates, automation, standards, and platform paved roads.
  • Experience with data catalog, governance, lineage, master data management, observability, and quality tools such as dbt, Collibra, Alation, Informatica, Denodo, or cloud-native governance services, or equivalent.
  • Knowledge of data integration and engineering patterns, including batch, streaming, change data capture, application programming interfaces, event-driven architecture, Kafka or cloud-native messaging, pipeline orchestration, and extract, load, and transform/extract, transform, and load.
  • Experience enabling artificial-intelligence-ready data foundations for governed reporting, analytics, machine learning, generative artificial intelligence, semantic search, knowledge representation, and emerging agentic use cases.
  • Demonstrated ability to influence vice president and C-level stakeholders through clear technical thinking, balanced trade-off analysis, business-aligned recommendations, and executive-ready storytelling.
  • Commitment to learning and applying Aritzia's Business and People Leadership principles.

Responsibilities

  • Translate business priorities into enterprise data architecture strategies, multi-year target-state data roadmaps, and federated data product standards.
  • Establish enterprise data standards for canonical models, shared vocabularies, reference data mappings, data flow diagrams, and business glossaries.
  • Oversee the central repository of data model system architectures, semantic artifacts, reference patterns, and reusable assets, and drive accountability across authoring teams to maintain compliant, accessible, and up-to-date documentation.
  • Represent Data Governance in formal Architecture Review Boards to evaluate proposed solutions for alignment with the data target state.
  • Drive architecture governance by leading standards development, architectural reviews, reusable patterns, and best practices that improve consistency, quality, security, and scalability in partnership with Analytics Engineering Excellence, Global Architecture, and Engineering Enablement teams.
  • Assess and mature enterprise data and governance capabilities through benchmarking, capability assessments, and target-state roadmaps.
  • Enable technical and business teams by promoting data literacy across the enterprise through teaching, coaching, and leading tailored Communities of Practice sessions.

Desired Qualifications

  • Experience partnering across Digital, Retail, Product, Supply Chain, Corporate, Finance, Customer, ESG, or similarly complex consumer domains.

About the Company

Aritzia

Women's fashion retailer selling in-house brands

Aritzia designs and sells women's clothing and accessories through physical stores and aritzia.com, primarily in North America with growing online reach. It uses multiple in-house brands, such as Tna, Babaton, and Denim Forum, and offers items like sweatpants, denim, jackets, dresses, and more, with online features like personalized recommendations and exclusive collections. The company differentiates itself through its multi-brand approach, focus on high-quality, trend-aware apparel, and active customer engagement via loyalty programs and the Aritzia Research Community. Its goal is to expand its North American footprint and extend its online presence globally while maintaining brand loyalty and delivering consistent fashion-forward products.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Vancouver, Canada
Founded
1984

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