Job Summary

Data Architect - Bengaluru, Permanent, 10 to 12 years of experience.

Responsibilities
Data Engineering Architecture (Primary)
Design and build scalable data platforms, pipelines, and architectures
Define batch and streaming frameworks (Kafka, Pub/Sub, OpenShift/Kubernetes, GitLab CI/CD, ArgoCD, Optional - Spring Batch)
Establish data ingestion, transformation, and storage patterns
Design event-driven and real-time data solutions
Data Processing & Integration
Build real-time data pipelines and streaming integrations
Standardize data formats (Avro, JSON, Parquet) and connectors
Enable API-driven (optional) and event-based system integrations
Batch Processing, MongoDB, Redis, Helm Charts, Kibana /Elasticsearch, Artifactory
Data Quality & Governance
Ensure data quality, consistency, and reliability
Implement data validation, lineage, and traceability
Define failure handling and recovery strategies
Automation & Optimization
Drive automation using Python / Bash scripting




Continuously improve pipeline performance and scalability
GCS, Ingress / API Gateways, Enterprise Platform Services

Requirements
POD Leadership - Act as technical lead for the POD
Drive architecture decisions, design reviews, and best practices
Collaborate with data, platform, and product teams
Mentor engineers and build data engineering capability
Ensure smooth work progression (To Do In Progress Done) and remove blockers
Streaming is of lower priority as we are migrating out of real-time for our monetization platforms.
Deploy data engineering GCP resources as code (IaaC)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Architect Bengaluru (India)
🏢 BCE Global Technology Centre
📍 India