Full Stack Data Platform Engineer

Vriba Solutions; Bengaluru; Hybrid; INR 2,160,000 - 2,640,000; Full time

Benefits offered by this job

Hybrid start

Work from home after two weeks

Job summary

Vriba Solutions is seeking a seasoned Full Stack Data Platform Engineer to design and operate enterprise-grade Data & AI Platform capabilities. You will modernize platform services, enable self-service analytics, and support AI-ready architectures in a cloud-first environment.

The role emphasizes hands-on engineering across AWS, DevOps, microservices, and data governance, with a strong focus on scalable, secure, and governed data consumption for analytics and AI workloads.

Qualifications

• Bachelor's Degree in Engineering is mandatory.

Responsibilities

• Design, develop, and enhance enterprise Data & AI Platform capabilities supporting analytics, AI, Agentic AI, and modern data platform use cases.

Skills

ECS / EKS

AWS Lambda

API Gateway

S3

IAM

VPC

CloudWatch

Secrets Manager

Route 53

Internal Developer Platforms

Cloud Security & Governance

Full stack

TypeScript

Node.js

REST APIs

GraphQL APIs

DDD

API First Development

SOA

Secure Coding Practices

Testing Frameworks

Education

Bachelor's Degree in Engineering

Master's Degree in Computer Science or IT (Preferred)

Tools

Snowflake

Databricks

AWS Data Services

Kafka

Data Warehousing

Lakehouse Architecture

Data Mesh

Data Fabric

Medallion Architecture

Data Products

Semantic Layers

Self-Service Analytics

Data Governance

Data Quality

Metadata Management

Job description

Job Title: Full Stack Data Platform Engineer

Experience: 5 - 8+ Years

Function: Technology | Data Platform Engineering | Cloud & AI Platforms

Mode: Initially 2 weeks hybrid then work from home

Compensation: Raise as per the market on the current compensation. Maximum up to INR 24lpa

Primary skills - Full stack (React, NodeJs, CI/CD, etc.)

Secondary skills - Data engineering (including some exposure to Snowflake, Databricks or similar data platform), AI/Agentic

The resources are expected to build service layer that could be used by Data Engineers

Role Summary

Client is seeking a highly experienced Platform Engineer to design, build, and operate enterprise-grade Data & AI Platform capabilities supporting Analytics, AI, Generative AI, and Agentic AI workloads. The role is focused on modernizing platform capabilities that enable scalable, governed, and self-service data consumption while supporting AI-driven decision-making and autonomous workflow.

The successful candidate will contribute to Data Engineering as a Service, Self-Service Analytics, Semantic Layers, Intelligent Data Products, and AI-ready architecture. This is a hands‑on engineering role requiring expertise in AWS Cloud, Platform Engineering, Full Stack Development, Microservices Architecture, DevOps, and modern software engineering practices.

Key Responsibilities

• Design, develop, and enhance enterprise Data & AI Platform capabilities supporting analytics, AI, Agentic AI, and modern data platform use cases.
• Build platform capabilities enabling Data Engineering as a Service, Data Quality as a Service, Data Discovery, Governance, and standardized data consumption.
• Develop Semantic Layer and Self-Service Analytics capabilities for business users, analysts, and AI applications.
• Enable trusted and governed data access across enterprise platforms.
• Support intelligent data products and AI-ready platform architectures.

Application & Platform Development

• Build cloud-native applications, APIs, platform services, automation frameworks, and developer productivity tools.
• Develop reusable platform services, accelerators, SDKs, and engineering frameworks.
• Design capabilities supporting data ingestion, transformation, orchestration, observability, and platform operations.
• Build scalable and resilient enterprise applications using modern software engineering patterns.

Cloud & Platform Operations

• Develop secure, scalable, and resilient AWS-based platform solutions.
• Implement CI/CD, Infrastructure as Code, DevOps automation, and cloud-native operational frameworks.
• Contribute to platform reliability, cloud cost optimization, performance tuning, incident management, and operational excellence initiatives.
• Support enterprise security, privacy, governance, and compliance requirements.

Data Governance & Enablement

• Contribute to metadata management, lineage, data quality, observability, governance, and compliance initiatives.
• Support semantic retrieval and integration capabilities for AI-driven workloads.
• Enable enterprise-wide self-service analytics and trusted data consumption frameworks.
• Drive enterprise data enablement through modern governance and metadata practices.
• Support AI-ready platform architecture and emerging AI technologies.
• Enable integrations supporting Agentic AI, Generative AI, intelligent automation, and orchestration platforms.
• Collaborate with data scientists and AI teams to build scalable AI-enablement capabilities.
• Contribute to modern AI engineering and emerging technology initiatives.

Stakeholder Collaboration

• Work closely with Data Engineers, Data Scientists, Platform Engineers, Architects, and business stakeholders.
• Deliver reusable services and platform capabilities that accelerate adoption and innovation.
• Translate business needs into scalable engineering solutions.
• Drive collaboration across business and technology teams.

Primary Skills (Must Have)

• ECS / EKS
• AWS Lambda
• API Gateway
• S3
• IAM
• VPC
• CloudWatch
• Secrets Manager
• Route 53
• Internal Developer Platforms
• Cloud Security & Governance

Software Engineering

• React
• TypeScript
• Node.js
• REST APIs
• GraphQL APIs
• Domain Driven Design (DDD)
• API First Development
• Service-Oriented Architecture
• Secure Coding Practices
• Testing Frameworks (Unit, Integration, Contract & End-to-End Testing)

DevOps & Automation

• Infrastructure as Code (Terraform, CloudFormation, CDK)
• Git
• Docker
• Platform Monitoring & Observability
• Logging & Operational Tooling
• DevOps Practices

Data & Analytics Platforms

• Snowflake
• Databricks
• AWS Data Services
• Kafka
• Data Warehousing
• Lakehouse Architecture
• Data Mesh
• Data Fabric
• Medallion Architecture
• Data Products
• Semantic Layers
• Self-Service Analytics
• Data Governance
• Data Quality
• Metadata Management

Secondary Skills (Nice to Have)

AI & Emerging Technology

• Generative AI
• Agentic AI
• LLM Integrations
• Vector Databases
• MCP Servers
• AI Orchestration Frameworks
• AI Governance
• OpenAI
• Amazon Bedrock
• Snowflake Cortex
• MLOps
• Model Serving Platforms
• Streaming Platforms
• Multi-Cloud Environments
• Airflow
• Astronomer
• Databricks
• GraphQL
• API Gateways
• Internal Developer Platforms
• Retail & eCommerce Industry Experience
• Expertise in scalable enterprise-grade platform development.
• Strong understanding of Data Products and Semantic Layers.
• Knowledge of Data Governance and AI Governance frameworks.
• Focus on automation, standardization, and platform innovation.
• Strong analytical and problem-solving skills.
• Ability to operate in rapidly evolving cloud and AI environments.
• Excellent communication and stakeholder management capabilities.
• Ability to translate business requirements into scalable technical solutions.

Experience & Qualifications

Education

• Bachelor's Degree in Engineering (Mandatory)
• Master's Degree in Computer Science or IT (Preferred)

Experience

• 5-8 years of relevant experience.
• Hands-on experience building and operating enterprise-grade production platforms.
• Strong experience implementing cloud-native architectures and distributed systems.
• Proven expertise with AWS platform development.
• Experience supporting Data & AI platform modernization programs.
• Experience implementing modern development practices including Agile, DevOps, Git, CI/CD, IaC, and automated testing.
• Experience supporting reliability, observability, governance, security, and cloud cost optimization initiatives.
• Retail, eCommerce, or customer-facing digital platform experience is highly preferred.