Senior Data Platform Engineer (Database & Storage Connectors)

Senior Data Platform Engineer

Connectors

• Unified APIs
• Multi-Tenant Platform

About the Role

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.

What You’ll Do

• 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.
• Optimise 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-tools use cases.
• Build reusable SDKs and developer tooling for consuming the platform.

What We’re Looking For

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 — PostgreSQL and MySQL, advanced SQL, query optimisation, 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.

This Role Is Not a Fit If…

• You have only built application features on top of one database, with no platform or infrastructure design

experience.

• You rely on ORMs and cannot reason about SQL, query plans, or performance at a low level.
• You have worked only with relational databases — no NoSQL or object storage.
• You have never designed for multi-tenancy, or thought hard about credential security and isolation.
• You have not worked with AWS.

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.

CTC Range - 12L to 15L

Please fill the form below ​as part of your skill assessment.

https://zfrmz.in/oJApWUP4Dt4xqHGjSlJj