Big Data Architect

Big Data Architect

Enterprise Data Platforms & Cloud-Native Big Data Solutions

EXPERIENCE

15+ years

LOCATION

Gurgaon | Bangalore | Pune

WORK MODE

Remote

Role Overview

We're looking for a seasoned Big Data Architect to lead the design of scalable, cloud-native data platforms that power enterprise analytics and decision-making. In this role, you'll own the data architecture strategy end-to-end - from designing high-performance pipelines to enabling advanced analytics - working closely with engineering, analytics, and business stakeholders to turn data into a strategic asset.

What You'll Do

Define and drive enterprise data architecture strategy using Agile and SAFe methodologies

Architect large-scale, high-volume data products and distributed data systems

Design and implement Data Mesh architecture for decentralized, domain-oriented data ownership

Build and optimize real-time streaming architectures that scale reliably under high throughput

Own application deployment, hosting, and orchestration using Kubernetes

Champion DataOps practices to drive continuous architectural improvement and automation

Create and maintain the Architectural Runway and Non-Functional Requirements (NFRs)

Design secure, resilient CI/CD pipelines tailored to data engineering workflows

Embed quality, security, and governance standards from the earliest stages of architecture

Partner with engineering, analytics, and business teams to deliver scalable, business-aligned data solutions

What You Bring

15+ years of overall experience, including 5+ years in a dedicated Architect role

Proven track record designing enterprise-grade Big Data and analytics solutions

Hands-on expertise building data products and large-scale distributed data systems

Practical experience implementing Data Mesh architecture and modern data ecosystems

Strong command of real-time data streaming architecture and design patterns

Hands-on Kubernetes experience for deployment and container orchestration

A DataOps mindset - automation-first, with a focus on continuous evolution

Experience building CI/CD pipelines specifically for data engineering workflows

Working knowledge of enterprise architecture frameworks (TOGAF, Zachman, or equivalent)

Excellent communication skills and the ability to thrive in fast-paced enterprise settings

Core Technologies

Cloud Platforms: AWS & Microsoft Azure

Analytics & Compute: Azure Synapse Analytics, Azure Databricks, Apache Spark

Streaming & Ingestion: Apache Kafka, Apache NiFi

Storage & Data Management: Azure Data Lake Storage, RDS, SQL Data Warehouse

BI & Reporting: Power BI and related reporting/analytics tools

Enterprise Systems: BSS, OSS, and Enterprise Support Systems

Pay: ₹3,000,000.00 - ₹4,200,000.00 per year

Work Location: In person