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;driving accountability across authoring teams (Solution Delivery, Data & Analytics, Global Architecture) to maintain compliant, accessible, and up-to-date documentation.
Represent Data Governance in formal Architecture Review Boards to evaluate proposed solutions for data target-state alignment.
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 & business teamsby promoting data literacy across the enterprise through teaching, coaching, and leading tailored Communities of Practice (COP) sessions.
Proven skills, education, and/or applicable certifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or equivalent experience; Master's preferred.
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 GCP, AWS, or Azure, and platforms such as BigQuery, Snowflake, Databricks, Redshift, Azure Synapse, Microsoft Fabric, or equivalent.
Strong experience architecting lakehouse, warehouse, streaming, orchestration, semantic, BI, and ML/AI 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, MDM, observability, and quality tools such as dbt, Collibra, Alation, Informatica, Denodo, cloud-native governance services, or equivalent.
Knowledge in data integration and engineering patterns including batch, streaming, CDC, APIs, event-driven architecture, Kafka or cloud-native messaging, pipeline orchestration, and ELT/ETL.
Experience enabling AI-ready data foundations for governed reporting, analytics, machine learning, GenAI, semantic search, knowledge representation, and emerging agentic use cases.
Experience partnering across Digital, Retail, Product, Supply Chain, Corporate, Finance, Customer, ESG, or similarly complex consumer domains strongly preferred.
Demonstrated ability to influence VP and C-level stakeholders through clarity of technical thought, balanced trade-off analysis, business-aligned recommendations, and executive-ready storytelling.
A commitment to learn and apply Aritzia's Business and People Leadership principles
At Aritzia, we provide market-leading compensation packages designed to reward impact through our pay-for-performance philosophy.
The range for roles at this level is $100,000 - $300,000 per year. Total compensation may include base, bonus and/or equity depending on the role, which has the potential to be greater than this range.
With comprehensive benefits, aspirational workspaces, and elevated perks and experiences — we provide it all.