Data Architect – Commerce

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 13%

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Cordance

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🤝 B2B

💳 Fintech

☁️ SaaS

B2B • Fintech • SaaS

Cordance is a young company with a long history, dedicated to partnering with founder-run businesses to provide financial and strategic support for their growth. Leverage their extensive operational expertise and resources, they focus on customized growth journeys for their partners, ensuring that quality, talent, and culture are preserved. Cordance aims to build long-term partnerships geared towards sustainable success.

📋 Description

• Define and lead the enterprise data architecture for Cordance Commerce • Own the target-state data architecture and roadmap for a unified reporting and analytics platform • Assess transactional databases, data pipelines, reporting tools, BI reports, and customer-specific reports • Document dependencies, duplication, performance risks, and migration constraints • Define shared enterprise data models, canonical business definitions, master-data strategy, and system-of-record ownership • Design separation of transactional and analytical workloads using cloud data warehouse or lakehouse patterns • Evaluate platforms including Snowflake and recommend solutions based on scale, security, cost, operability, and business needs • Create phased migration strategies across Solutions, Secure Retail, Upright, and Pearl Dive while maintaining continuity • Develop standards for ingestion, transformation, orchestration, semantic models, APIs, data quality, lineage, metadata, retention, archival, and observability • Partner with BI professionals to rationalize report catalogs and enable reusable datasets, governed self-service analytics, and configurable reporting • Guide DBAs and engineering teams on database architecture, PostgreSQL and Microsoft SQL modernization, replication or change-data-capture, performance isolation, backup, recovery, and operational readiness • Establish governance practices for ownership, access controls, privacy, security, auditability, quality thresholds, and change management • Lead technical discovery, architecture reviews, proofs of concept, and vendor evaluations • Translate findings into designs, sequencing, estimates, risks, and investment recommendations • Provide hands-on technical guidance and review implementation designs • Ensure new product capabilities align with the target architecture and avoid data silos • Enable trusted enterprise dashboards and cross-product reporting for operational, customer, financial, and executive decisions • Deliver current-state assessments, target-state architecture, migration roadmaps, common business definitions, governed data models, quality and recovery standards, migration milestones, adoption, ownership controls, and platform cost metrics

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or a related field, or equivalent practical experience • 8+ years of experience in data engineering, database architecture, analytics engineering, or business intelligence • 3+ years in a data architecture or senior technical leadership role • Experience designing enterprise data warehouses, lakehouses, or analytical platforms • Experience migrating data from multiple operational systems • Strong expertise in conceptual, logical, and physical data modeling, including dimensional modeling and normalized transactional designs • Hands-on proficiency with SQL, relational databases, ETL/ELT patterns, orchestration, data quality, metadata, lineage, and BI semantic models • Experience separating reporting workloads from high-volume transactional systems • Experience designing for performance, resilience, scalability, and cost control • Experience with cloud data platforms and modern data integration patterns, including APIs, replication, and change data capture • Strong written and verbal communication skills • Preferred: Hands-on experience with Snowflake and AWS, Azure, or Google Cloud • Preferred: Experience with PostgreSQL and Microsoft SQL, including modernization or migration initiatives • Preferred: Experience consolidating reporting platforms following acquisitions or across a multi-product SaaS portfolio • Preferred: Experience rationalizing standard and customer-specific reports and enabling governed self-service analytics • Preferred: Familiarity with retail, point-of-sale, inventory, e-commerce, donation, or thrift/resale data domains • Preferred: Knowledge of data privacy, security, role-based access, audit, retention, and compliance practices • Preferred: Experience enabling machine learning, generative AI, or agentic AI use cases • Relevant cloud, Snowflake, data-management, or architecture certification is a plus • Final candidate must be able to pass a background check

🏖️ Benefits

• Comprehensive health coverage beginning on the first day of employment • 401K Plan (US) with employer matching up to 4%; pre-tax and Roth options; eligible the first of the month after 90 days; immediately vested • RRSP (CAN) with employer matching up to 4%; pre-tax and Roth options; eligible the first of the month after 90 days; immediately vested • Flexible, uncapped paid time off • 12 weeks paid parental leave for all employees • Monthly remote-work stipend of $75 USD or $140 CAD for phone and internet • Generous holiday schedule • Competitive compensation and benefits • Career growth opportunities • Collaborative culture supporting innovation, accountability, continuous learning, and transparency