Data Architect (Database Administration & Optimization)

About You

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:

• Bachelors 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.

Remote Work :

Yes

Employment Type :

Full-time