Technical Solutions Engineer owning API documentation and partner integrations for Coinme’s enterprise crypto infrastructure. Supporting fintech clients from technical discovery through production go - live.
About the role
- Senior Data Solution Architect designing and implementing data architecture on GCP for a warehouse intelligence platform at Fulfillment IQ.
Responsibilities
- 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
Requirements
- 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)
Benefits
- 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
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