Database Platform Engineer

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• Ingénieur de la plateforme de bases de données

Our mission is to deliver reliable, secure, and scalable data infrastructure as a service across AppDirect. We treat data infrastructure as a product — databases, search, cache, and lakehouse capabilities that engineering teams can depend on to build and ship with confidence.

The Data Platform team supports 80+ data stores across the organization and operates against four quality pillars: resiliency and capacity, security, operational excellence, and performance and scalability. We enable self-serve access and automation, lead large-scale database migrations driven by company growth and acquisitions, and partner closely with Cloud Platform, DevOps, and product engineering so teams get fit-for-purpose data stores that are secure by design.

As data infrastructure enters its AI-native era, we are investing in AI-assisted operations, self-service tooling, and lakehouse modernization — reducing toil, improving time-to-insight, and helping newly acquired teams onboard onto our data platform quickly and safely.

About You

We are looking for a Database Platform Engineer to join our Data Platform team. You are a highly technical professional with an entrepreneurial spirit and a data-as-a-service mindset. You thrive on efficiency, automation (including AI-driven approaches), and continuous learning — and you want your work to make a meaningful impact.

This is a unique opportunity to build at the intersection of highly scalable, fault-tolerant data services and modern cloud infrastructure. You will take on complex technical challenges across database reliability, migrations, and platform automation, and play a key role in evolving our cloud-native data environment. You enjoy guiding engineers toward the right data store for the job, building self-healing systems, and leaving behind documentation and patterns that help others move faster.

• →Lead large-scale database migration projects driven by company acquisitions, client onboarding, and platform growth — planning for minimal downtime, strong rollback strategies, and zero data loss.
• →Design and execute deployment strategies for blue/green rollouts, data archiving, and partitioning across relational and document data stores.
• →Use AI-powered automation to strengthen our data platform across our quality pillars: operational excellence, security and compliance, performance and scalability, and resiliency and capacity planning.
• →Apply automation tools and spec-driven workflows to design, automate, and ship database platform changes faster — runbooks, diagnostics, and operational tooling — with clear acceptance criteria and high code quality.
• →Guide engineers in delivering fit-for-purpose database solutions across relational (MySQL, PostgreSQL, SQL Server) and other data store types depending on the use case.
• →Collaborate with the Data Insights team on data platform enablement — supporting reliable access patterns, security and governance alignment, and safe onboarding of workloads.
• →Maintain a strong culture of documentation by developing and sharing high-quality knowledge resources for engineers.
• →Participate in incident response and on-call rotation to maintain data infrastructure health.

• 2+ years of hands-on experience running and operating MySQL and/or PostgreSQL in production environments, with a solid understanding of database internals.
• 2+ years of experience with AWS cloud services.
• Solid understanding of relational database concepts including backup and recovery, replication, performance tuning, and high availability.
• Excellent analytical and problem-solving abilities.
• Strong communication skills for explaining complex technical topics to peers and non-technical stakeholders.
• Experience working in a distributed team.

• Experience with Infrastructure as Code (IaC) tools such as Terraform for automating database infrastructure provisioning.
• Familiarity with AI-assisted development workflows and tools (e.g., Cursor, Claude) to improve efficiency, automation, and code quality.
• Exposure to lakehouse and analytics infrastructure (e.g., Databricks, Apache Iceberg, Unity Catalog) and an openness to collaborating with the Data Insights team on lakehouse enablement initiatives.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

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