This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Arquiteto de Dados AWS based in Brazil.
This role is focused on designing and evolving modern, scalable data architectures in cloud environments, with a strong emphasis on AWS and Lakehouse-based solutions. You will play a strategic role in defining how data is ingested, processed, governed, and made available across the organization, enabling analytics, operational use cases, and AI initiatives. The position involves close collaboration with engineering teams and business stakeholders to ensure data platforms are secure, efficient, and aligned with enterprise needs. You will also contribute to architectural standards, best practices, and the continuous improvement of data ecosystems. The environment is highly collaborative and innovation-driven, with exposure to large-scale, complex data challenges. This is an opportunity to shape enterprise data foundations and directly influence the success of data and AI strategies.
Accountabilities:
- Define, evolve, and govern the enterprise data architecture in AWS, ensuring scalability, security, and performance.
- Design and implement Lakehouse solutions using Databricks, Delta Lake, and modern data engineering patterns.
- Establish and enforce standards for data modeling, governance, security, and development best practices.
- Define and optimize data ingestion strategies, including batch, streaming, incremental loads, and CDC pipelines.
- Guide and support data engineering teams in building robust, high-performance data pipelines and solutions.
- Conduct technical architecture reviews, ensuring adherence to best practices and architectural consistency.
- Ensure data quality, integrity, and compliance across multiple data sources and systems.
- Collaborate with business and technical stakeholders to translate requirements into scalable data solutions.
Requirements:
- Proven experience as a Data Architect working with AWS-based data solutions.
- Strong expertise in AWS services such as S3, IAM, Glue, Lambda, DMS, Secrets Manager, and CloudWatch.
- Hands-on experience with Databricks ecosystem, including Apache Spark, PySpark, Spark SQL, Delta Lake, Unity Catalog, Workflows, and Auto Loader.
- Solid background in data modeling for analytical environments, including Data Warehouse and Lakehouse architectures.
- Strong knowledge of dimensional modeling and relational databases.
- Experience designing and implementing ETL/ELT pipelines and data integration solutions.
- Familiarity with CI/CD pipelines and code versioning practices.
- English proficiency for technical communication and collaboration.
- Nice to have: multi-cloud experience, data governance and LGPD knowledge, and certifications in AWS or Databricks.
- Strong soft skills including communication, autonomy, proactivity, and ability to translate complex technical topics for different audiences.
Benefits:
- Health and dental insurance coverage.
- Meal or food allowance.
- Access to learning platforms and discounted education programs.
- Internal training academy with certified courses and mentoring programs.
- Wellness and healthcare support, including medical and dental assistance.
- Discount clubs and partnerships across services and retail.
- Travel and pet-related benefit programs.
- Career development opportunities in a global technology environment.
- Collaborative and innovation-driven work culture.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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