Data Architect, Contractor

Cheesecake Labs

Contract Data Architect building scalable data platforms for Cheesecake Labs, a digital product design and development company. Supporting analytics, AI readiness, and modernization initiatives for international clients.

Posted 8/8/2026contractRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data architectures and modern data engineering solutions, with a strong focus on data modeling, ETL/ELT workflows, and cloud-native data platforms. Proficient in collaborating with multidisciplinary teams and international clients to align technical strategies with business objectives.

Highest-signal resume keywords

Scalable Data ArchitecturesModern Data Stack TechnologiesData ModelingETL/ELT WorkflowsCloud-Native Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Engineering SolutionsData Ingestion ProcessesTransformationsOrchestration WorkflowsDistributed Data SystemsAI IntegrationAnalyticsSnowflakeDatabricksSpark

Soft Skills

AdaptabilityCollaborationCommunication

Tools & Technologies

DbtKafkaDelta Lake

Certifications & Qualifications

Valid Business RegistrationCNPJVATEIN

Industry Keywords

Cloud-NativeEnterprise-Scale ArchitecturesInternational ClientsMultidisciplinary Teams

Tech Stack

Tools & technologies

CloudETLKafkaSpark

About the role

Key responsibilities & impact

Build and evolve scalable modern data platforms, pipelines, and workflows
Work closely 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

What you’ll need

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 asynchronous work with international clients and teams
Use of AI in day-to-day workflow 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

Comp & perks

Paid in USD/hour
Remote-first / Fully remote
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