DATA ARCHITECT | AWS CLOUD & DATA PLATFORMS (HYBRID / REMOTE BRAZIL)
Brazilian company hires for hybrid or remote position
Location: Brazil (any location)
- ️ Only candidates already based in Brazil will be considered
Work Model: Hybrid for candidates living in state capitals and Remote for candidates living in countryside/cities outside the state capitals
️ Language Requirements: Advanced English (C1/C2) for communication in an international environment
Seniority: Senior (6+ years)
Compensation: Please inform your salary expectations when applying.
- ️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.
Shape the architecture behind enterprise data platforms
We are looking for an experienced Data Architect to design and guide the implementation of scalable, secure, and resilient data platforms on AWS.
This role combines architectural ownership, technical leadership, and close collaboration with global teams. You will translate business needs into practical solutions, guide platform modernization, and establish standards that support reliable data use across the organization.
What you will do
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Define data architecture strategies, principles, and standards for enterprise initiatives.
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Design and evolve Data Lakes, Data Warehouses, and Lakehouse platforms on AWS.
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Establish patterns for data ingestion, integration, transformation, processing, storage, and delivery.
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Translate business and operational requirements into technical solutions.
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Evaluate scalability, performance, availability, reliability, security, and cost efficiency.
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Create and maintain architecture diagrams, decision records, standards, and documentation.
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Establish practices for data governance, quality, security, lifecycle management, and regulatory compliance.
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Guide cloud migrations and the modernization of existing data platforms.
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Provide technical direction on ETL, ELT, distributed processing, and data integration.
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Partner with Data Engineers, Business Analysts, Product Owners, and business stakeholders throughout implementation.
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Review solution designs and components to ensure alignment with architectural standards.
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Evaluate emerging technologies, including Databricks, Snowflake, and Kafka, where relevant to business needs.
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Promote reusable solutions, technical maintainability, and knowledge sharing while mentoring other professionals.
What you bring
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A bachelor’s degree in Computer Science, Software Engineering, or a related field.
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Advanced English proficiency (C1/C2), with the ability to communicate effectively in international teams.
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Experience designing and implementing enterprise data architectures in cloud environments.
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Deep knowledge of AWS data services, including AWS Glue, Amazon Redshift, and Amazon S3.
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Experience designing and evolving Data Lakes and Data Warehouses, plus knowledge of Lakehouse architectures and modern data platform patterns.
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Strong expertise in ETL/ELT architecture and data modeling.
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Experience with Apache Spark or equivalent distributed processing technologies.
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Knowledge of Python and SQL for data solutions.
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Experience with data governance, quality, and security.
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The ability to define architectural principles, standards, and technical direction.
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Experience translating business requirements into technical designs that address functional and non-functional needs.
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Experience with data platform migration or modernization initiatives.
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The ability to guide engineering teams through implementation and influence technical decisions.
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Experience working in complex enterprise environments with global teams.
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Clear communication, critical thinking, and the autonomy to take ownership of architectural decisions.
Experience that will help you stand out
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Financial Services, Banking, Wealth Management, Asset Management, or other regulated environments.
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Amazon Athena, AWS Lambda, AWS Lake Formation, or Amazon EMR.
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Databricks or Snowflake.
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Kafka or other messaging and streaming technologies.
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Terraform and Infrastructure as Code.
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CI/CD and DataOps practices.
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Metadata management, data lineage, and access controls.
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Enterprise architecture tools and frameworks.
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Architecture governance and solution reviews.
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AWS, Databricks, Snowflake, or TOGAF certifications.
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Technical mentoring and professional development of other team members.
Who would thrive in this role?
You are an experienced data architect who can connect enterprise strategy with implementation details. You understand how architectural choices affect business outcomes, engineering delivery, operating costs, and long-term maintainability.
You are comfortable weighing trade-offs, explaining your decisions, and guiding teams through complex technical challenges. You bring structure to ambiguous requirements, prioritize security and governance, and collaborate effectively with both technical and business stakeholders across global teams.
Does this sound like you?
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Have you designed an enterprise data platform on AWS? What architectural decisions did you own?
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How have you used AWS Glue, Amazon Redshift, and Amazon S3 in your solutions?
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How do you choose between a Data Lake, Data Warehouse, and Lakehouse architecture?
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How do you balance scalability, performance, resilience, security, and cost?
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What is your experience designing ETL/ELT pipelines and distributed processing solutions?
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Have you led or supported a cloud migration or data platform modernization initiative?
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How do you incorporate data quality, lineage, access controls, and governance into your architecture?
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How have you guided engineering teams and influenced technical decisions?
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Are you comfortable presenting architecture proposals and discussing trade-offs in English?
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Have you worked in Financial Services or another regulated industry?
Interested in applying?
Please share your updated resume, location in Brazil, preferred work model, current compensation, and compensation expectations. Specify the currency and whether the amounts are monthly or annual.
Highlight relevant AWS architecture projects, your role in key technical decisions, and the outcomes achieved.
Resume keywords
Data Architect, Senior Data Architect, Data Architecture, Enterprise Data Architecture, AWS, Cloud Data Platforms, AWS Glue, Amazon Redshift, Amazon S3, Data Lake, Data Warehouse, Lakehouse, ETL, ELT, Data Modeling, Apache Spark, Distributed Processing, Python, SQL, Data Integration, Data Ingestion, Data Governance, Data Quality, Data Security, Data Lifecycle Management, Scalability, Performance Optimization, High Availability, Reliability, Resilience, Cost Optimization, Cloud Migration, Data Platform Modernization, Architecture Standards, Architecture Decision Records, Solution Design, Technical Leadership, Stakeholder Management, Global Teams, Advanced English, Financial Services, Banking, Wealth Management, Asset Management, Regulatory Compliance, Amazon Athena, AWS Lambda, AWS Lake Formation, Amazon EMR, Databricks, Snowflake, Kafka, Data Streaming, Terraform, Infrastructure as Code, CI/CD, DataOps, Metadata Management, Data Lineage, Access Controls, Enterprise Architecture, Architecture Governance, TOGAF, AWS Certifications, Technical Mentoring
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