Design and implement the end-to-end data architecture for a multi-site warehouse intelligence platform on GCP
Develop a dual-layer data strategy, including analytics and real-time operational data layers
Design and implement CDC pipelines using FiveTran, Debezium, or Oracle GoldenGate
Develop the real-time operational data layer using Apache Flink or GCP Dataflow
Design integration patterns between the platform, Blue Yonder WMS, MuleSoft middleware, and downstream analytics consumers
Develop data pipelines built to scale across 50+ site production volumes
Collaborate with the BI team to configure Polaris catalog and Iceberg table partitioning strategy
Establish data quality, lineage, and observability standards across all pipelines
Participate in architecture reviews and provide technical leadership on data-related decisions

8+ years of experience in data architecture or data engineering, with at least 3 years in a solution architect capacity
3+ years of experience with Snowflake, including data engineering, data modeling, and data warehousing
Deep GCP experience, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud SQL, and Cloud Spanner
Hands-on experience with Apache Iceberg and CDC expertise
Experience with streaming architecture, including Apache Flink, GCP Dataflow, or Apache Kafka Streams
SQL mastery and experience with Oracle databases
Strong understanding of the supply chain and logistics domains
Strong communication and collaboration skills
Experience with Apache Kafka, Blue Yonder, MuleSoft integration patterns, and multi-tenant/multi-site data architectures (preferred)
Familiarity with GenAI/LLM architectures and their data requirements (preferred)
Experience with MDM tools or patterns (preferred)
GCP Professional Data Engineer or equivalent certification (preferred)

Comprehensive health and dental coverage for you and your family (region-specific plans)
Employee wellness programs, where applicable
Competitive paid time off (PTO), sick leave, and public holidays
Flexible leave policies that respect local labor standards
Retirement savings programs and employer contributions
Region-specific plans (CPP and supplementary plans in Canada)
Dedicated learning and development budget
Support for skills development, leadership growth, and career progression
Remote and hybrid work options
Flexible working hours aligned to role and client needs
Equipment and workstation allowances
Internet and business travel reimbursements
Employee stock options (ESOP), where applicable
Team events, meetups, and company offsites

Senior Data Solution Architect

Key skills