Big Data Architect

Job Title: Big Data Architect

Work Mode: Remote

Employment Type: Full Time

Interview Mode: Virtual

Salary Budget: Up to 42 LPA Max (Including 10% Variable)

Role Overview

We are hiring an experienced Big Data Architect to design scalable enterprise data platforms and modern cloud-native big data solutions. The ideal candidate will drive data architecture strategy, build high-performance data pipelines, and enable advanced analytics platforms in enterprise environments.

Key Responsibilities

• Design scalable enterprise data architecture following Agile and SAFe methodologies
• Architect large-scale data products handling high-volume and intensive data applications
• Design and implement Data Mesh architecture for decentralized data management
• Build and optimize real-time streaming architectures for large-scale systems
• Manage application deployment, hosting, and orchestration using Kubernetes
• Drive DataOps practices for continuous architecture improvement and automation
• Create and maintain Architectural Runway and Non-Functional Requirements
• Design and implement secure CI/CD pipelines for data engineering workflows
• Ensure built-in quality, security, and governance standards from architecture stage
• Collaborate with engineering, analytics, and business teams for scalable data solutions

Required Skills & Experience

• 15+ years of overall experience with at least 5+ years in Architect role
• Strong experience designing enterprise-grade Big Data and Analytics solutions
• Hands-on expertise with Data Products and large-scale distributed data systems
• Experience implementing Data Mesh architecture and modern data ecosystems
• Strong expertise in real-time data streaming architecture
• Hands-on experience with Kubernetes for deployment and container orchestration
• Strong DataOps mindset focused on automation and continuous evolution
• Experience building CI/CD pipelines for data engineering workflows
• Knowledge of enterprise architecture frameworks such as TOGAF or Zachman
• Strong communication skills and ability to work in fast-paced enterprise environments

Core Technologies

• AWS & Azure Cloud Platforms
• Azure Synapse Analytics
• Apache Kafka & Apache Spark
• Azure Databricks
• Azure Data Lake Storage
• NiFi, RDS, SQL Data Warehouse
• Power BI & Reporting Analytics
• Enterprise Systems (BSS, OSS & Enterprise Support Systems)