Data Architect

About the role

We are seeking an experienced Data Architect to lead the design and implementation of our enterprise data architecture and ETL frameworks supporting our modern data warehouse in Google Cloud Platform (GCP).

Responsibilities

• Architectural Blueprinting: Design and implement scalable data architecture, pipelines, and modeling strategies that power our enterprise data warehouse on GCP (BigQuery).
• ETL/ELT Ownership: Own the end-to-end ETL/ELT architecture, including ingestion, transformation, modeling, and orchestration.
• Business Collaboration: Partner with business leaders and the BI team to translate strategic goals into high-quality data products and analytical solutions.
• Governance & Integrity: Ensure data integrity and security by adhering to and upholding data governance, quality standards, and architectural best practices.
• Innovation & Modernization: Drive modernization efforts by researching, evaluating, and implementing emerging technologies and tools across the data ecosystem.
• Technical Mentorship: Serve as a technical mentor and guide to data engineers and cross-functional teams.
• Platform Planning: Participate in data platform roadmap planning, vendor evaluations, and tool selection.
• Efficiency: Promote reusable patterns, modular design, and automation wherever possible to ensure long-term scalability.

Requirements

Experience: 10+ years in data engineering, data architecture, or data analytics roles, with a minimum of 3 years specifically dedicated to a Data Architect position.

Enterprise Data Modeling: Expertise in designing and implementing enterprise data warehouses, including star/snowflake schemas and dimensional modeling techniques in a Medallion architecture.

Modern Architecture Standards: Proven experience implementing Lakehouse patterns (specifically using BigQuery and open table formats like Iceberg), Data Mesh (domain-driven design), and real-time streaming architectures.

GCP Ecosystem: Strong expertise in Google Cloud Platform, specifically BigQuery, Cloud Composer (Airflow), Dataflow, Pub/Sub, Cloud Storage, Slot Reservations/Workload Management.

Languages: Expert-level SQL is required; Python proficiency is a strong plus for custom operators and advanced data processing.

Governance: Solid understanding of data governance, metadata management, security, and compliance in cloud environments.

Platform Thinking & Strategy: Proven ability to balance immediate business delivery with long-term architectural health; a strategic thinker who can navigate complex stakeholder requirements to build scalable, future-proof data platforms.

Bi Tooling: Experience working with BI tools (e.g., Tableau, Looker, AtScale, Databricks) to support self-service and enterprise reporting.

Communication: Ability to engage with both technical and non-technical stakeholders to translate complex requirements into impactful solutions.

Qualifications

Nice To Have Industry Knowledge: Background in the retail industry or high-volume transactional environments.

Nice To Have Emerging Technology: Familiarity with or vision for integrating Generative AI into data engineering workflows (e.g., using LLMs for SQL generation, automated metadata documentation, or synthetic data creation).

Skills

SQL Expertise

Python Proficiency (optional)

Benefits

Pay/Benefits Information: Actual starting pay is determined by various factors, including but not limited to relevant experience and location.

Health Care Benefits: Includes medical, vision, and dental coverage.

Wellness Benefits: Available.

401(k) Retirement Benefits: Available.

Life and Disability Insurance: Available.

Employee Stock Purchase Program: Available.

Paid Time Off: Available.

Paid Sick Leave: Available.

Holiday Pay: Available.

Parental Leave and Benefits: Available.

Discretionary Bonuses and Other Incentives: Available at the discretion of AEO.

About Us

Get to Know AEO American Eagle Outfitters, Inc. (NYSE: AEO) is a leading global specialty retailer with a portfolio of beloved apparel brands including American Eagle, Aerie, OFFL/NE by Aerie, Todd Snyder and Unsubscribed. Rooted in optimism, inclusivity and authenticity, AEO’s brands empower every customer to celebrate their unique personal style by offering casual, comfortable, timeless outfitting and high-quality products that are made to last. In addition to a robust e-commerce business, we operate stores in the United States, Canada and Mexico, with merchandise available in more than 30 countries through a global network of license partners. At AEO, we believe in the power of our people and our brands. Our Better Together culture creates a mutual desire to succeed–inspiring our community to excel, while driving future growth for the business and associates. Through experience, exposure and education we empower associates to build their unique career journey. Inclusion, Diversity, Equity and Access at AEO We remain committed to building an inclusive culture that is welcoming and fosters a sense of belonging for everyone. Please see more about our initiatives here .

Contact

AEO may also provide discretionary bonuses and other incentives at its discretion.