Data Architect – Commerce

🕒 Agosto 19

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 14%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Cordance

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2021

🤝 B2B

💳 Fintech

☁️ SaaS

B2B • Fintech • SaaS

Cordance é uma empresa jovem com uma longa história, dedicada a fazer parceria com negócios liderados por fundadores para oferecer suporte financeiro e estratégico ao seu crescimento. Ao aproveitar sua ampla expertise operacional e recursos, a empresa foca em jornadas de crescimento personalizadas para seus parceiros, assegurando que qualidade, talento e cultura sejam preservados. A Cordance busca construir parcerias de longo prazo orientadas para o sucesso sustentável.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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