Sr. Data Architect

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At YETI we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here youll have the opportunity to create exceptional meaningful work and problem solve with innovative team members by your side. Together youll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD.

The Data Architect is responsible for defining designing and governing the Enterprise Data Warehouse (EDW) architecture on Google BigQuery enabling scalable high-performance analytics reporting and data products across the enterprise. This role partners closely with Data Engineering Analytics Product and Business teams to translate business needs into a governed cost-efficient and future-ready data architecture.

The ideal candidate brings deep expertise in BigQuery-based EDW design dimensional and semantic modeling data governance and enterprise-scale analytics platforms in a cloud-native environment.

Key Responsibilities

Enterprise Data Architecture

Define and own the EDW reference architecture on Google BigQuery including datasets schemas layering (staging curated reporting) and access patterns.

Establish data modeling standards (dimensional star/snowflake wide tables aggregated views) to support BI analytics and downstream consumption.

Design semantic and reporting layers that support governed self-service analytics and enterprise reporting.

Data Modeling & Design

Lead logical and physical data model design for core enterprise domains (e.g. customer product orders finance supply chain).

Ensure models are optimized for BigQuery performance partitioning clustering and cost efficiency.

Define standards for reusable dimensions facts and cross-domain conformed models.

Data Integration & Pipelines

Partner with Data Engineering teams to architect ELT/ETL patterns leveraging BigQuery SQL transformations and cloud-native ingestion.

Provide architectural guidance for ingestion from enterprise systems (e.g. SAP eCommerce platforms APIs file-based feeds).

Ensure architectural alignment across batch and near-real-time data pipelines.

Data Governance & Quality

Define and enforce data governance data quality and metadata standards across the EDW.

Partner with data governance and security teams to implement data access controls privacy and compliance within BigQuery.

Drive consistent definitions KPIs and certified datasets across the enterprise.

Analytics & BI Enablement

Enable BI and analytics platforms (e.g. Power BI Tableau Looker) through well-designed BigQuery datasets and semantic models.

Ensure EDW architecture supports enterprise reporting ad-hoc analytics and advanced analytics use cases.

Cost Performance & Scalability

Define and monitor BigQuery cost optimization strategies including query optimization dataset design and workload isolation.

Ensure the EDW scales to support growing data volumes users and analytical complexity.

Leadership & Collaboration

Act as the architectural authority for EDW design decisions.

Collaborate with architects engineers analytics teams and business stakeholders.

Provide architectural guidance reviews and mentoring to data engineers and analysts.

Required Qualifications

Bachelors degree in Computer Science Information Systems Engineering or equivalent experience.

8 years of experience in data architecture data warehousing or analytics platforms.

Strong hands-on expertise with Google BigQuery in an enterprise EDW context.

Deep knowledge of data modeling (dimensional star schema analytical modeling).

Advanced SQL expertise for analytical and transformation workloads.

Experience designing enterprise-scale EDW platforms supporting BI and analytics.

Strong understanding of data governance data quality and security concepts.

Excellent communication and stakeholder management skills.

Preferred Qualifications

Experience with GCP ecosystem (BigQuery Cloud Storage Dataflow DataProc Composer).

Experience integrating data from ERP (SAP) eCommerce Marketing and Supply Chain systems.

Familiarity with BI semantic modeling and enterprise reporting architectures.

Experience supporting self-service analytics at scale.

Prior experience in retail consumer goods or omnichannel businesses is a plus.

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Benefits & Perks:

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YETI is proud to be an Equal Opportunity Employer.

Our commitment to creating a diverse equitable and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at applicants for employment will be considered without regard to an individuals race color sex gender identity gender expression religion age national origin or ancestry citizenship physical or mental disability medical condition family care status marital status sexual orientation genetic information military or veteran status or any other basis protected by federal state or local laws.

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