Data & Platform Architect

Zyoin Group; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

A technology solutions firm in India is seeking an experienced Data & Platform Architect to design scalable core services and data foundations. Your role will involve collaboration with various engineering teams to ensure that data ingestion, processing, and storage systems remain secure and efficient. Preferred candidates will have 10+ years in software engineering with expertise in data architecture across multiple systems. This is a leadership role that offers the opportunity to influence future technology standards.

Qualifications

• 10+ years of experience in software engineering focusing on data platforms.
• 5+ years in architecture or platform leadership roles.
• Experience building enterprise-scale platforms.

Responsibilities

• Define and evolve architecture patterns for data ingestion and storage.
• Ensure consistency and scalability across data systems.
• Drive cloud-native architecture adoption.

Skills

Data architecture design

Event-driven systems

Microservices architecture

Stakeholder communication

Tools

MongoDB

Kafka

Node.js

Angular

Job description

We are looking for an experienced Data & Platform Architect to design and evolve the core platform services that power scalable digital solutions. This role focuses on building robust data foundations across structured, unstructured, document, and time-series systems while ensuring platform services remain secure, scalable, and resilient.

You will work closely with engineering, product, and infrastructure teams to drive platform architecture standards, data governance, and high-performance distributed systems.

What You’ll Do

• Define and evolve architecture patterns for data ingestion, processing, storage, and APIs
• Ensure consistency and scalability across time-series, document, relational, and unstructured data systems
• Establish governance frameworks and lifecycle standards for platform services and data pipelines
• Drive adoption of cloud-native architectures and API-first design principles

Technical Leadership

• Provide guidance on platform services including event streaming, messaging systems, data pipelines, storage, and APIs
• Define best practices for indexing, search, caching, and high-performance data access
• Collaborate on cross-platform concerns such as security, observability, reliability, and cost optimization
• Ensure interoperability between platform modules, applications, and external integrations
• Partner with product managers, architects, and engineering teams to align platform architecture with business goals
• Mentor engineers on data engineering, architecture standards, and platform best practices
• Support cross-product initiatives requiring shared data infrastructure and platform services

Required Skills & Expertise

• Strong experience designing data architectures across relational (SQL), NoSQL/document (MongoDB, CouchDB), time-series (Timescale, InfluxDB), and unstructured data systems
• Deep understanding of event-driven systems and messaging platforms (Kafka, RabbitMQ, Service Bus)
• Expertise in microservices architecture, REST/GraphQL APIs, and backend system design
• Experience with MEAN stack environments (Node.js, Express, MongoDB, Angular) is desirable
• Familiarity with DevOps practices, observability frameworks, and cloud-native environments
• Strong understanding of platform governance, security, and lifecycle management
• Excellent stakeholder communication and technical leadership skills

Experience Requirements

• 10+ years of experience in software engineering with focus on data platforms and distributed systems
• 5+ years in architecture or platform leadership roles
• Experience building enterprise-scale, multi-tenant, or SaaS platforms
• Experience with time-series, event-driven, or data-intensive industrial systems is a strong advantage