Database Architect

Job Title: Database ArchitectReports to: Director of Engineering

Location: Remote

About the Role:

We are seeking a seasoned Database Architect to lead the design, optimization, and governance of our data systems. This role is pivotal in ensuring our real-time, high-scale systems are robust, efficient, and aligned with best practices for security and compliance. As a key technical leader, you will partner across engineering teams to drive a data-first culture and scalable architecture strategies.

About inKind:

inKind is a mission-driven company. Its mission is to empower restaurants and enrich customer experiences.

We achieve this by:

• Providing flexible funding solutions to restaurants, helping them thrive and overcome financial challenges.
• Building a loyalty platform that connects customers with their favorite restaurants and rewards them for their support.
• Creating stronger communities by supporting local businesses and fostering connections between restaurants and customers.

We're on a journey to:

• Transforming the restaurant industry: inKind aims to reshape how restaurants access funding, operate, and connect with customers.
• Creating a thriving restaurant ecosystem: They strive to build a sustainable and prosperous environment for restaurants by providing resources and opportunities.
• Empowering restaurateurs: inKind seeks to equip owners with the tools and support they need to achieve their dreams and build fulfilling careers.
• Enhancing customer experiences: Their goal is to provide customers with diverse and rewarding dining experiences while celebrating local businesses.
  
  

Responsibilities:

• Advanced Schema Design: Lead relational database architecture with advanced schema modeling and normalization, primarily in Amazon Aurora.
• Query & Performance Optimization: Develop and implement strategies for indexing, partitioning, and query tuning to support high-performance, high-availability, real-time systems.
• Disaster Recovery & Replication: Design comprehensive backup, disaster recovery, and replication strategies leveraging AWS native tools to ensure business continuity.
• Data Governance & Security: Establish and enforce data governance policies, compliance protocols, and security best practices across environments.
• Data Evangelism & Architecture Leadership: Advocate for data-first thinking, promoting best-in-class data modeling strategies and architectural standards within engineering and cross-functional teams.

Essential Requirements:

• 5+ years of experience in database architecture, design, and administration.
• Proven expertise in relational database design with deep knowledge of Aurora or equivalent AWS RDS platforms.
• Hands-on experience optimizing performance for large-scale, real-time applications.
• Strong background in disaster recovery planning, backup strategies, and multi-region replication on AWS.
• Familiarity with data compliance standards (e.g., SOC 2, GDPR) and security frameworks.
• Excellent communication skills with the ability to influence engineering teams and stakeholders.

Nice to have:

• Experience with hybrid database models (e.g., SQL + NoSQL architectures).
• Exposure to analytics platforms and BI tooling integrations.
• Leadership in cross-functional data architecture initiatives.
• Production experience with PostgreSQL.

What We Offer:

• Competitive salary and benefits package
• Opportunity to work on meaningful projects that make a real impact
• Collaborative and supportive work environment
• Chance to learn and grow with a talented team
• On-Site, Remote & Hybrid work culture
  
  
  $155,000 - $165,000 DOE

inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions.

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