Data Platform Engineer

We are building a generic data platform that connects to many different databases and storage systems and exposes them through a single, unified API layer similar in spirit to Supabase, but designed to work across heterogeneous data sources. We are looking for a senior data platform engineer to design and build the connector-based architecture at the heart of it. You will own the pluggable connector framework that brings relational databases, NoSQL systems, and object storage into one consistent, developer-friendly platform, including the API layer, schema discovery, access control, multi-tenant isolation, and the SDKs other teams build on. This is a deep systems-design role for someone who has built platform infrastructure before, not only application features.

Responsibilities:

• Design and build a pluggable connector framework for multiple data sources.
• Build unified REST / GraphQL APIs for interacting with different databases and storage systems.
• Implement schema discovery, metadata management, and query-abstraction layers.
• Build connectors for relational databases (PostgreSQL, MySQL), NoSQL systems (MongoDB, DynamoDB), and object storage (S3, CDN-based storage such as Bunny).
• Design and implement authentication, authorization, and access control across connectors.
• Optimize the performance, scalability, and reliability of data access.
• Implement logging, monitoring, retries, and failure handling.
• Ensure secure handling of credentials and strong multi-tenant isolation.
• Collaborate with frontend and platform teams to enable low-code and internal tool use cases.
• Build reusable SDKs and developer tooling for consuming the platform.

Requirements:

• This is a senior, systems-heavy role. We want someone who has designed and shipped platform or infrastructure software, not only application features on top of a single database.
• 7+ years of backend/platform engineering experience, including systems you designed and owned end-to-end.
• Deep database expertise in PostgreSQL and MySQL, advanced SQL, query optimization, indexing, and performance tuning.
• Hands-on experience with NoSQL systems (MongoDB and DynamoDB).
• Strong backend development in Python and strong API design (REST and/or GraphQL).
• Experience designing multi-tenant systems and connector / plugin-based architectures.
• Data abstraction across heterogeneous systems, plus schema discovery and metadata management.
• Experience with event-driven and async processing.
• AWS (RDS, S3, Lambda, ECS) and Docker, with a track record of building for reliability logging, monitoring, retries, and failure handling.

Nice to Have:

• Experience with platforms like Hasura or Appwrite.
• Change Data Capture (CDC) and real-time data systems.
• Object storage and CDN integrations.
• Exposure to internal tools / low-code platforms.
• A history of building SDKs or developer platforms.
• Kubernetes; monitoring with CloudWatch, Datadog, or similar.