Database Engineer

Job Description

Job Description (JD) for a Database Engineer tailored specifically for the development of a Scale Model Industry Marketplace with AI/ML-enabled architecture:

Job Title:

Database Engineer AI/ML Enabled Marketplace (Scale Model Industry)

Department:

Technology

Location:

Preferred: Ahmedabad, Gujarat, India

Employment Type:

Full-time

About the Role:

We are seeking a Database Engineer to design, build, and manage a robust, scalable, and intelligent database system that powers SKALX a vertical marketplace focused on the Scale Model Industry (Aircraft, Automotive, Railway, Military, Sci-Fi, etc.). The ideal candidate will have good knowledge of relational and NoSQL databases, AI/ML data modelling, and product taxonomy handling tailored to the structured and variant-rich nature of scale models and their components.

Key Responsibilities:

1. Database Architecture & Design:

Design and implement scalable and modular database architecture (PostgreSQL, MongoDB, or similar) tailored for:

oProduct variants (scale, themes, parts, decals, kits, accessories, etc.)

oHierarchical taxonomies (e.g., Model Type > Brand > Variant > Scale > Material)

oAI-ready data structures (recommendation systems, personalization, auto-tagging, etc.)

Develop and maintain ER diagrams, data flow maps, and normalization strategies.

2. AI/ML-Enabled Structuring:

Design schemas that support AI/ML pipelines for:

oImage-to-product tagging

oAuto-classification

oCustomer behaviour analytics

oDecal recognition & smart search

3. Performance Optimization:

Optimize databases for large-scale querying, analytics, and concurrent access.

Implement indexes, partitions, and caching layers to improve performance.

Ensure data integrity, consistency, and fault tolerance.

4. Collaboration & Documentation:

Work closely with Backend Engineers, ML Engineers, UI/UX Designers, and Product Owners.

Translate business and product requirements into scalable data systems.

Write and maintain comprehensive data documentation, SOPs, and security policies.

5. Data Security & Compliance:

Ensure implementation of role-based access control, encryption-at-rest, and data backup protocols.

Adhere to global compliance standards like GDPR, CCPA, and local IT regulations.

Required Skills and Qualifications:

Technical Expertise:

Strong experience with PostgreSQL, MySQL, MongoDB, Redis, or similar DBMS

Experience in data modelling for marketplaces or e-commerce platforms

Proficiency in AI/ML data integration (TensorFlow/PyTorch data pipelines or similar)

Familiarity with GraphQL, REST APIs, and data warehousing tools

Knowledge of ORM tools (like Prisma, SQLAlchemy) and migration/versioning systems

Domain-Specific Knowledge (Preferred):

Experience with product catalogue complexity such as variants, kits, spares, decals

Understanding of scale modelling industries (e.g., model kits, decals, wargaming parts)

Prior work with B2B/B2C E-comm platforms

Soft Skills:

Strong problem-solving and systemic thinking

Good communication and documentation skills

Team player with a collaborative mindset and willingness to learn niche industry structures

Preferred Experience:

Good database engineering experience (e-commerce or product platforms)

Previous experience in a company is highly desirable

Exposure to cloud-native DB environments (AWS RDS, Google Cloud SQL, Azure DB)

Tools & Platforms to be used (preferred):

PostgreSQL, MongoDB, Hasura, Supabase, Firebase

Apache Kafka, Airflow, ETL pipelines

Figma, Notion, Jira, GitHub

How to Apply:

Send your resume, GitHub/portfolio (if available), and a short write-up about your experience with complex product data structures to [Confidential Information] with the subject: Database Engineer AI Marketplace.

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