Description:
General Information:
Job Title: Senior Data Solution Architect
Location: Toronto (Remote/ Hybrid)
Job Type: Full-Time or Contract for 12+ months
Reporting Line: SVP, Architecture
Salary Range: $120–$145 CAD per hour (negotiable)
About Fulfillment IQ (FIQ):
Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk.
If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life.
Role Overview:
We are seeking an experienced Senior Data Solution Architect to design and implement a data architecture for a large-scale warehouse intelligence platform on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data architecture, data engineering, and a deep understanding of the supply chain and logistics domains. The role requires a hands-on approach, with a focus on designing data pipelines, integrating multiple warehouse management systems, and implementing a real-time streaming layer.
Must Have:
- 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
Preferred Qualifications:
- Experience with Apache Kafka, Blue Yonder, MuleSoft integration patterns, and multi-tenant/multi-site data architectures
- Familiarity with GenAI/LLM architectures and their data requirements
- Experience with MDM tools or patterns
- GCP Professional Data Engineer or equivalent certification
Nice-to-Have Qualifications:
- Familiarity with Google Cloud Spanner (DaaS)
- Experience with Polaris catalog for Iceberg table management
Key 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
What Success Looks Like in the First 90 Days:
By Day 30
- Gain a deep understanding of the warehouse intelligence platform vision, existing client environments, and data ecosystem across GCP, Snowflake, Iceberg, and streaming components.
- Establish strong working relationships with Architecture, BI, Platform Engineering, and client stakeholders.
- Review and validate current data flows, WMS integrations, CDC requirements, and multi-site data ingestion patterns.
By Day 60
- Deliver a high‑level data architecture blueprint covering analytics, operational real‑time layers, and integration patterns.
- Prototype key components: CDC pipeline (e.g., Debezium/GoldenGate), Iceberg table structure, and initial Dataflow/Flink streaming jobs.
- Define data quality, lineage, and observability frameworks aligned with project needs.
By Day 90
- Implement the first production-ready data pipelines for at least one warehouse site, including CDC ingestion and real-time data layer.
- Validate scalability approach for multi-site ingestion (50+ sites).
- Finalize architecture documentation, standards, and handoff patterns for Engineering and BI teams.
- Act as the primary data architecture authority in architecture reviews and cross-functional technical decisions.
Key Performance Indicators (KPIs):
- Delivery of approved end-to-end data architecture blueprint
- On-time deployment of CDC and streaming pipelines
- Pipeline performance: latency, throughput, data freshness
- Data quality: <2% exceptions and full lineage/observability coverage
- Architecture scalability validated for 50+ sites
- Strong cross-functional collaboration and positive stakeholder feedback
Why You’ll Love Working Here:
At Fulfillment IQ, we don’t just build supply chain solutions; we build long-term careers.
We believe in giving our people real ownership, real influence, and meaningful responsibility. Whether you’re leading a client relationship, shaping a solution, or building internal capability, your decisions have visible impact.
We operate with a high-trust, high-standards culture that values clear thinking, collaboration, and accountability without unnecessary hierarchy or bureaucracy.
Here’s what makes Fulfillment IQ a rewarding place to work:
Work That Matters
You’ll help solve real operational challenges that directly impact global commerce, customer experience, and supply chain performance.
Career Growth That Matters
We invest in mentorship, leadership development, and continuous learning — supporting both vertical growth and long-term career progression.
Flexibility to Thrive
We support remote and hybrid work models, flexible schedules, and trust our teams to manage their time responsibly.
We Celebrate Impact
From project wins to personal milestones, we recognize contribution, celebrate progress, and value consistency over heroics.
A Collaborative Culture
You’ll work alongside experienced consultants, engineers, product leaders, and commercial professionals who value ownership, transparency, and high standards.
Perks you’ll appreciate:
Health & Wellness
- Comprehensive health and dental coverage for you and your family (region-specific plans)
- Employee wellness programs, where applicable
Time Off
- Competitive paid time off (PTO), sick leave, and public holidays
- Flexible leave policies that respect local labor standards
Retirement & Financial Security
- Retirement savings programs and employer contributions
- Region-specific plans (401(k) in the U.S., CPP and supplementary plans in Canada)
Professional Growth
- Dedicated learning and development budget
- Support for skills development, leadership growth, and career progression
Flexible Work
- Remote and hybrid work options
- Flexible working hours aligned to role and client needs
Additional Perks
- Equipment and workstation allowances
- Internet and business travel reimbursements
- Employee stock options (ESOP), where applicable
- Team events, meetups, and company offsites
Life at Fulfillment IQ:
Fulfillment IQ is a people-first company built in trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace.
Learn More About Us:
Website: fulfillmentiq.com
LinkedIn: Fulfillment IQ
Spotify: eCom Logistics Podcast Spotify
YouTube: eCom Logistics Podcast YouTube
Top Skills
Fulfillment IQ Toronto, Ontario, CAN Office
Toronto, Ontario, Canada



