Data Architect

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Cheesecake Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Cheesecake Labs is a digital design and engineering firm specializing in building mobile and web applications. They offer services such as staff augmentation, dedicated teams, software outsourcing, and solve real-world problems through technology. Their expertise lies in enhancing business strategies with innovative solutions, catering to clients ranging from startups to large enterprises. Cheesecake Labs collaborates with a variety of industries to create impactful digital products, including e-commerce platforms, web platforms, IoT applications, social media apps, and voice assistants. With a strong focus on time zone alignment, competitive rates, and cultural synergy, they ensure seamless project execution and outstanding client satisfaction.

📋 Description

• Build and evolve scalable modern data platforms, pipelines, and workflows • Work with team members to determine what should be built • Implement end-to-end data architectures focused on scalability, analytics, and AI-readiness • Define and improve data modeling strategies, ingestion processes, transformations, and orchestration workflows • Collaborate with software engineers, AI engineers, product teams, and business stakeholders to align technical decisions with business goals • Work across cloud-native data platforms, relational and non-relational databases, and modern data stack tools • Participate in technical and strategic discussions with international clients and multidisciplinary teams • Support infrastructure, pipelines, architecture, AI integration, analytics, and modernization initiatives

🎯 Requirements

• Strong experience building scalable data architectures and modern data engineering solutions • Comfort with modern data stack technologies such as Snowflake, Databricks, dbt, or equivalent tools • Strong knowledge of data modeling, ETL/ELT workflows, orchestration, and distributed data systems • Experience with relational and non-relational databases, cloud-native data platforms, and enterprise-scale architectures • Ability to adapt to ambiguity, evolving business requirements, and fast-changing technical contexts • Advanced-level English confidence for calls, discussions, and async work with international clients and teams • Use of AI in day-to-day workflows for automation, query generation, documentation, workflow acceleration, or operational support • Experience with Spark, Kafka, Delta Lake, AI integration initiatives, or distributed data systems is a strong plus • Valid business registration in the candidate’s country, such as CNPJ, VAT, EIN, or equivalent • Bank account eligible to receive USD payments • Ability to issue invoices accordingly

🏖️ Benefits

• Paid in USD/hour • Remote-first • Flexible allocation depending on project availability and fit • Opportunities may vary in duration, scope, and weekly commitment depending on client needs • Opportunities to work across different products, clients, technologies, and business challenges • Some opportunities may start immediately • Selection-process accessibility support within the company’s possibilities