Data Architect (Database Administration & Optimization)

Applaudo; Rio de Janeiro; On-site; BRL 167,400 - 279,000; Full time

Job summary

A leading tech company in Brazil is seeking a Data Architect to design high-performance data solutions. The ideal candidate will have over 5 years of experience in data architecture, strong AWS skills, and advanced proficiency in SQL. Responsibilities include optimizing database performance, collaborating with engineering teams, and defining architectural standards. Join a dynamic team dedicated to creating impactful AI-powered solutions while fostering a high-performance culture.

Qualifications

• 5+ years of experience in data architecture, database architecture, or similar roles.
• Hands-on experience designing and operating data solutions on AWS.
• Advanced SQL skills including complex query optimization and execution plan analysis.

Responsibilities

• Design, evolve, and maintain data architectures on AWS RDS and Aurora.
• Optimize database workloads and analyze performance through SQL.
• Collaborate with software engineers to align application and data layers.
• Establish best practices for database performance monitoring.

Skills

SQL Expertise

Data Architecture

Performance Optimization

AWS RDS and Aurora

Version Control with GitHub

Analytical Skills

Problem-solving

High Attention to Detail

Advanced English Proficiency

Education

Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering

Job description

You are a Data Architect with a strong focus on designing, optimizing, and scaling high-performance data solutions. You enjoy working close to the database layer and understanding how architectural decisions directly impact performance, scalability, and reliability. You are comfortable owning data architecture decisions end to end and thrive in environments where deep technical expertise, autonomy, and collaboration with engineering teams are essential.

You Bring to Applaudo the Following Competencies:

• Bachelor’s Degree in Computer Science, Software Engineering, Data Engineering, or a related field (preferred), or equivalent professional experience.
• 5+ years of experience in data architecture, database architecture, or similar roles with a strong focus on performance optimization.
• Hands-on experience designing and operating data solutions on AWS, with strong preference for RDS and Aurora.
• Advanced expertise in SQL, including complex query optimization, execution plan analysis, indexing strategies, and stored procedure development.
• Deep understanding of how CPU, memory, storage, and I/O constraints impact database and data architecture performance.
• Experience defining and applying architectural best practices for high availability, scalability, and performance.
• Strong proficiency using GitHub for version control, collaboration, and documentation.
• Ability to work independently, take ownership of architectural decisions, and drive improvements end to end.
• Strong analytical, problem-solving, and communication skills.
• High attention to detail and a strong commitment to data quality and system performance.
• Advanced English proficiency, as you will collaborate with distributed and US-based teams.

You Will Be Accountable for the Following Responsibilities:

• Design, evolve, and maintain data architectures that prioritize performance, scalability, and reliability on AWS RDS and Aurora.
• Analyze and optimize database workloads through SQL performance tuning, query refactoring, and advanced indexing strategies.
• Identify architectural and infrastructure-level bottlenecks related to CPU, memory, storage, and I/O, proposing scalable solutions.
• Define and enforce data modeling and architectural standards for high-performance transactional and analytical workloads.
• Collaborate closely with software engineers and technical teams to ensure strong alignment between application and data layers.
• Establish and promote best practices for database performance monitoring, optimization, and reliability across environments.
• Review and optimize stored procedures and complex SQL logic from an architectural and performance perspective.
• Document data architecture decisions, performance guidelines, and optimization strategies.
• Act as a technical reference and advisor for data architecture and performance topics across teams.
• Support technical discussions with stakeholders by providing clear recommendations and trade-off analyses.

Additional Information

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.